George Karypis

495 papers A* 64A 61B 22C 9Misc 5Journal 215Unranked 98

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Connecting the Impact of Silent Data Corruption With Different Training Characteristics: An Empirical Study. IEEE Micro Hengzhi Pei, Leonard Lausen, George Karypis
2026	J	`jnl`	MaxCode: A Max-Reward Reinforcement Learning Framework for Automated Code Optimization. CoRR Jiefu Ou, Sapana Chaudhary, Kaj Bostrom, Nathaniel Weir, Shuai Zhang, Huzefa Rangwala, George Karypis
2026	J	`jnl`	OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation. CoRR Haoyang Fang, Shuai Zhang, Yifei Ma, Hengyi Wang, Cuixiong Hu, Katrin Kirchhoff, Bernie Wang, George Karypis
2026	J	`jnl`	P-EAGLE: Parallel-Drafting EAGLE with Scalable Training. CoRR Mude Hui, Xin Huang, Jaime Campos Salas, Yue Sun, Nathan Pemberton, Xiang Song, Ashish Khetan, George Karypis
2026	J	`jnl`	PropMolFlow: property-guided molecule generation with geometry-complete flow matching. Nat. Comput. Sci. Cheng Zeng, Jirui Jin, Connor Ambrose, George Karypis, Mark K. Transtrum, Ellad B. Tadmor, Richard G. Hennig, Adrian Roitberg, Stefano Martiniani, Mingjie Liu
2026	J	`jnl`	Scalable Prompt Routing via Fine-Grained Latent Task Discovery. CoRR Yunyi Zhang, Soji Adeshina, Sheng Guan, Ashwin Ganesh, Zhen Han, Vassilis N. Ioannidis, Huzefa Rangwala, George Karypis
2026	A	`conf`	Third Workshop on Generative AI for Recommender Systems and Personalization. WSDM Narges Tabari, Aniket Deshmukh, Wang-Cheng Kang, Julian J. McAuley, James Caverlee, Neil Shah, George Karypis
2026	J	`jnl`	When LLMs get significantly worse: A statistical approach to detect model degradations. CoRR Jonas M. Kübler, Kailash Budhathoki, Matthäus Kleindessner, Xiong Zhou, Junming Yin, Ashish Khetan, George Karypis
2026	J	`jnl`	XShare: Collaborative in-Batch Expert Sharing for Faster MoE Inference. CoRR Daniil Vankov, Nikita Ivkin, Kyle Ulrich, Xiang Song, Ashish Khetan, George Karypis
2025	J	`jnl`	A Proximal Operator for Inducing 2:4-Sparsity. CoRR Jonas M. Kübler, Yu-Xiang Wang, Shoham Sabach, Navid Ansari, Matthäus Kleindessner, Kailash Budhathoki, Volkan Cevher, George Karypis
2025	J	`jnl`	A Proximal Operator for Inducing 2:4-Sparsity. Trans. Mach. Learn. Res. Jonas M. Kübler, Yu-Xiang Wang, Shoham Sabach, Navid Ansari, Matthäus Kleindessner, Kailash Budhathoki, Volkan Cevher, George Karypis
2025	A*	`conf`	AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents. ICLR Ke Yang, Yao Liu, Sapana Chaudhary, Rasool Fakoor, Pratik Chaudhari, George Karypis, Huzefa Rangwala
2025	J	`jnl`	All that structure matches does not glitter. CoRR Maya M. Martirossyan, Thomas Egg, Philipp Höllmer, George Karypis, Mark K. Transtrum, Adrian Roitberg, Mingjie Liu, Richard G. Hennig, Ellad B. Tadmor, Stefano Martiniani
2025	A*	`conf`	AutoG: Towards automatic graph construction from tabular data. ICLR Zhikai Chen, Han Xie, Jian Zhang, Xiang Song, Jiliang Tang, Huzefa Rangwala, George Karypis
2025	J	`jnl`	AutoG: Towards automatic graph construction from tabular data. CoRR Zhikai Chen, Han Xie, Jian Zhang, Xiang Song, Jiliang Tang, Huzefa Rangwala, George Karypis
2025	A*	`conf`	BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering. EMNLP Costas Mavromatis, Soji Adeshina, Vassilis N. Ioannidis, Zhen Han, Qi Zhu, Ian Robinson, Bryan Thompson, Huzefa Rangwala, George Karypis
2025	J	`jnl`	BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering. CoRR Costas Mavromatis, Soji Adeshina, Vassilis N. Ioannidis, Zhen Han, Qi Zhu, Ian Robinson, Bryan Thompson, Huzefa Rangwala, George Karypis
2025	—	`conf`	Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models. ACL (Findings) Miguel Romero Calvo, Shuoyang Ding, Corey D. Barrett, Georgiana Dinu, George Karypis
2025	J	`jnl`	Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models. CoRR Miguel Romero, Shuoyang Ding, Corey D. Barret, Georgiana Dinu, George Karypis
2025	J	`jnl`	Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens. Trans. Mach. Learn. Res. Zhepeng Cen, Yao Liu, Siliang Zeng, Pratik Chaudhari, Huzefa Rangwala, George Karypis, Rasool Fakoor
2025	J	`jnl`	Chronos-2: From Univariate to Universal Forecasting. CoRR Abdul Fatir Ansari, Oleksandr Shchur, Jaris Küken, Andreas Auer, Boran Han, Pedro Mercado, Syama Sundar Rangapuram, Huibin Shen, Lorenzo Stella, Xiyuan Zhang, Mononito Goswami, Shubham Kapoor, Danielle C. Maddix, Pablo Guerron, Tony Hu, Junming Yin, Nick Erickson, Prateek Mutalik Desai, Hao Wang, Huzefa Rangwala, George Karypis, Yuyang Wang, Michael Bohlke-Schneider
2025	J	`jnl`	CoddLLM: Empowering Large Language Models for Data Analytics. CoRR Jiani Zhang, Hengrui Zhang, Rishav Chakravarti, Yiqun Hu, Patrick Ng, Asterios Katsifodimos, Huzefa Rangwala, George Karypis, Alon Y. Halevy
2025	J	`jnl`	Does Multimodality Lead to Better Time Series Forecasting? CoRR Xiyuan Zhang, Boran Han, Haoyang Fang, Abdul Fatir Ansari, Shuai Zhang, Danielle C. Maddix, Cuixiong Hu, Andrew Gordon Wilson, Michael W. Mahoney, Hao Wang, Yan Liu, Huzefa Rangwala, George Karypis, Bernie Wang
2025	J	`jnl`	From Demonstrations to Rewards: Alignment Without Explicit Human Preferences. CoRR Siliang Zeng, Yao Liu, Huzefa Rangwala, George Karypis, Mingyi Hong, Rasool Fakoor
2025	—	`conf`	GNN-RAG: Graph Neural Retrieval for Efficient Large Language Model Reasoning on Knowledge Graphs. ACL (Findings) Costas Mavromatis, George Karypis
2025	J	`jnl`	HetRL: Efficient Reinforcement Learning for LLMs in Heterogeneous Environments. CoRR Yongjun He, Shuai Zhang, Jiading Gai, Xiyuan Zhang, Boran Han, Bernie Wang, Huzefa Rangwala, George Karypis
2025	—	`conf`	KDD 2025 Workshop on Inference Optimization for Generative AI. KDD (2) Panpan Xu, Youngsuk Park, Lin Lee Cheong, Yida Wang, Yiying Zhang, George Karypis, Sherry Marcus
2025	—	`conf`	KDD Workshop on Evaluation and Trustworthiness of Agentic and Generative AI. KDD (2) Yuan Ling, Shujing Dong, Zheng Chen, Yarong Feng, Sadid Hasan, George Karypis, Chandan K. Reddy
2025	J	`jnl`	LC-PLM: Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection Layers. Trans. Mach. Learn. Res. Yingheng Wang, Zichen Wang, Gil Sadeh, Luca Zancato, Alessandro Achille, George Karypis, Huzefa Rangwala
2025	J	`jnl`	MLZero: A Multi-Agent System for End-to-end Machine Learning Automation. CoRR Haoyang Fang, Boran Han, Nick Erickson, Xiyuan Zhang, Su Zhou, Anirudh Dagar, Jiani Zhang, Ali Caner Türkmen, Cuixiong Hu, Huzefa Rangwala, Ying Nian Wu, Yuyang Wang, George Karypis
2025	J	`jnl`	Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models. CoRR Xiyuan Zhang, Danielle C. Maddix, Junming Yin, Nick Erickson, Abdul Fatir Ansari, Boran Han, Shuai Zhang, Leman Akoglu, Christos Faloutsos, Michael W. Mahoney, Cuixiong Hu, Huzefa Rangwala, George Karypis, Bernie Wang
2025	J	`jnl`	OmniMatch: Joinability Discovery in Data Products. Proc. VLDB Endow. Christos Koutras, Jiani Zhang, Xiao Qin, Chuan Lei, Vassilis N. Ioannidis, Christos Faloutsos, George Karypis, Asterios Katsifodimos
2025	A*	`conf`	Open Materials Generation with Stochastic Interpolants. ICML Philipp Höllmer, Thomas Egg, Maya M. Martirossyan, Eric Fuemmeler, Zeren Shui, Amit Gupta, Pawan Prakash, Adrian Roitberg, Mingjie Liu, George Karypis, Mark K. Transtrum, Richard G. Hennig, Ellad B. Tadmor, Stefano Martiniani
2025	J	`jnl`	Open Materials Generation with Stochastic Interpolants. CoRR Philipp Höllmer, Thomas Egg, Maya M. Martirossyan, Eric Fuemmeler, Amit Gupta, Zeren Shui, Pawan Prakash, Adrian Roitberg, Mingjie Liu, George Karypis, Mark K. Transtrum, Richard G. Hennig, Ellad B. Tadmor, Stefano Martiniani
2025	J	`jnl`	Perspective on artificial intelligence for accelerated materials design (AI4Mat) workshops in 2024. Mach. Learn. Sci. Technol. Santiago Miret, Marta Skreta, Geemi P. Wellawatte, Stefano Martiniani, N. M. Anoop Krishnan, George Karypis, Kevin Maik Jablonka
2025	J	`jnl`	ProxSparse: Regularized Learning of Semi-Structured Sparsity Masks for Pretrained LLMs. CoRR Hongyi Liu, Rajarshi Saha, Zhen Jia, Youngsuk Park, Jiaji Huang, Shoham Sabach, Yu-Xiang Wang, George Karypis
2025	A*	`conf`	Proxsparse: Regularized Learning of Semi-Structured Sparsity masks for Pretrained LLMS. ICML Hongyi Liu, Rajarshi Saha, Zhen Jia, Youngsuk Park, Jiaji Huang, Shoham Sabach, Yu-Xiang Wang, George Karypis
2025	—	`conf`	Second Workshop on Generative AI for Recommender Systems and Personalization. KDD (2) Narges Tabari, Aniket Deshmukh, Wang-Cheng Kang, Julian J. McAuley, James Caverlee, Neil Shah, George Karypis
2025	—	`conf`	Understanding Silent Data Corruption in LLM Training. ACL (1) Jeffrey Jian Ma, Hengzhi Pei, Leonard Lausen, George Karypis
2025	J	`jnl`	Understanding Silent Data Corruption in LLM Training. CoRR Jeffrey Jian Ma, Hengzhi Pei, Leonard Lausen, George Karypis
2025	C	`conf`	When Silicon Fails Silently: Characterizing Hardware-Induced Corruption in LLM Training. IOLTS Jeffrey Jian Ma, Hengzhi Pei, Leonard Lausen, George Karypis
2024	A	`conf`	3rd International Workshop on Industrial Recommendation Systems (IRS). CIKM Luyi Ma, Xiaohan Li, Kamilia Ahmadi, Jianpeng Xu, Philip S. Yu, George Karypis
2024	J	`jnl`	AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents. CoRR Ke Yang, Yao Liu, Sapana Chaudhary, Rasool Fakoor, Pratik Chaudhari, George Karypis, Huzefa Rangwala
2024	—	`conf`	AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models. AutoML ZhiQiang Tang, Haoyang Fang, Su Zhou, Taojiannan Yang, Zihan Zhong, Cuixiong Hu, Katrin Kirchhoff, George Karypis
2024	J	`jnl`	AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models. CoRR ZhiQiang Tang, Haoyang Fang, Su Zhou, Taojiannan Yang, Zihan Zhong, Tony Hu, Katrin Kirchhoff, George Karypis
2024	J	`jnl`	Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens. CoRR Zhepeng Cen, Yao Liu, Siliang Zeng, Pratik Chaudhari, Huzefa Rangwala, George Karypis, Rasool Fakoor
2024	A*	`conf`	CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage. EMNLP Costas Mavromatis, Balasubramaniam Srinivasan, Zhengyuan Shen, Jiani Zhang, Huzefa Rangwala, Christos Faloutsos, George Karypis
2024	A*	`conf`	Differentially Private Bias-Term Fine-tuning of Foundation Models. ICML Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis
2024	—	`conf`	Extending Input Contexts of Language Models through Training on Segmented Sequences. NAACL-HLT (Findings) Petros Karypis, Julian J. McAuley, George Karypis
2024	—	`conf`	Extreme Miscalibration and the Illusion of Adversarial Robustness. ACL (1) Vyas Raina, Samson Tan, Volkan Cevher, Aditya Rawal, Sheng Zha, George Karypis
2024	J	`jnl`	Extreme Miscalibration and the Illusion of Adversarial Robustness. CoRR Vyas Raina, Samson Tan, Volkan Cevher, Aditya Rawal, Sheng Zha, George Karypis
2024	—	`conf`	Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification. EMNLP (Findings) Zeren Shui, Petros Karypis, Daniel S. Karls, Mingjian Wen, Saurav Manchanda, Ellad B. Tadmor, George Karypis
2024	J	`jnl`	Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification. CoRR Zeren Shui, Petros Karypis, Daniel S. Karls, Mingjian Wen, Saurav Manchanda, Ellad B. Tadmor, George Karypis
2024	A*	`conf`	First Workshop on Generative AI for Recommender Systems and Personalization. KDD Narges Tabari, Aniket Anand Deshmukh, Wang-Cheng Kang, Hamed Zamani, Rashmi Gangadharaiah, Julian J. McAuley, George Karypis
2024	J	`jnl`	GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning. CoRR Costas Mavromatis, George Karypis
2024	A*	`conf`	GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications. KDD Da Zheng, Xiang Song, Qi Zhu, Jian Zhang, Theodore Vasiloudis, Runjie Ma, Houyu Zhang, Zichen Wang, Soji Adeshina, Israt Nisa, Alejandro Mottini, Qingjun Cui, Huzefa Rangwala, Belinda Zeng, Christos Faloutsos, George Karypis
2024	J	`jnl`	GraphStorm: all-in-one graph machine learning framework for industry applications. CoRR Da Zheng, Xiang Song, Qi Zhu, Jiani Zhang, Theodore Vasiloudis, Runjie Ma, Houyu Zhang, Zichen Wang, Soji Adeshina, Israt Nisa, Alejandro Mottini, Qingjun Cui, Huzefa Rangwala, Belinda Zeng, Christos Faloutsos, George Karypis
2024	J	`jnl`	Hierarchical Compression of Text-Rich Graphs via Large Language Models. CoRR Shichang Zhang, Da Zheng, Jiani Zhang, Qi Zhu, Xiang Song, Soji Adeshina, Christos Faloutsos, George Karypis, Yizhou Sun
2024	A*	`conf`	Inference Optimization of Foundation Models on AI Accelerators. KDD Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kübler, Jiaji Huang, Matthäus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis
2024	J	`jnl`	Inference Optimization of Foundation Models on AI Accelerators. CoRR Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kübler, Jiaji Huang, Matthäus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis
2024	A*	`conf`	KDD workshop on Evaluation and Trustworthiness of Generative AI Models. KDD Yuan Ling, Shujing Dong, Yarong Feng, Zongyi Joe Liu, George Karypis, Chandan K. Reddy
2024	—	`conf`	Learning to Generate Answers with Citations via Factual Consistency Models. ACL (1) Rami Aly, ZhiQiang Tang, Samson Tan, George Karypis
2024	J	`jnl`	Learning to Generate Answers with Citations via Factual Consistency Models. CoRR Rami Aly, ZhiQiang Tang, Samson Tan, George Karypis
2024	J	`jnl`	Long-context Protein Language Model. CoRR Yingheng Wang, Zichen Wang, Gil Sadeh, Luca Zancato, Alessandro Achille, George Karypis, Huzefa Rangwala
2024	A*	`conf`	Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space. ICLR Hengrui Zhang, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Xiao Qin, Christos Faloutsos, Huzefa Rangwala, George Karypis
2024	J	`jnl`	Multimodal Chain-of-Thought Reasoning in Language Models. Trans. Mach. Learn. Res. Zhuosheng Zhang, Aston Zhang, Mu Li, Hai Zhao, George Karypis, Alex Smola
2024	J	`jnl`	OmniMatch: Effective Self-Supervised Any-Join Discovery in Tabular Data Repositories. CoRR Christos Koutras, Jiani Zhang, Xiao Qin, Chuan Lei, Vasileios Ioannidis, Christos Faloutsos, George Karypis, Asterios Katsifodimos
2024	A*	`conf`	OpenTab: Advancing Large Language Models as Open-domain Table Reasoners. ICLR Kezhi Kong, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Chuan Lei, Christos Faloutsos, Huzefa Rangwala, George Karypis
2024	J	`jnl`	OpenTab: Advancing Large Language Models as Open-domain Table Reasoners. CoRR Kezhi Kong, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Chuan Lei, Christos Faloutsos, Huzefa Rangwala, George Karypis
2024	J	`jnl`	Pack of LLMs: Model Fusion at Test-Time via Perplexity Optimization. CoRR Costas Mavromatis, Petros Karypis, George Karypis
2024	J	`jnl`	Parameter-Efficient Tuning Large Language Models for Graph Representation Learning. CoRR Qi Zhu, Da Zheng, Xiang Song, Shichang Zhang, Bowen Jin, Yizhou Sun, George Karypis
2024	A*	`conf`	Pre-training Differentially Private Models with Limited Public Data. NeurIPS Zhiqi Bu, Xinwei Zhang, Sheng Zha, Mingyi Hong, George Karypis
2024	J	`jnl`	Pre-training Differentially Private Models with Limited Public Data. CoRR Zhiqi Bu, Xinwei Zhang, Mingyi Hong, Sheng Zha, George Karypis
2024	A	`conf`	Revisit Orthogonality in Graph-Regularized MLPs. CIKM Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu
2024	—	`conf`	Revisiting SMoE Language Models by Evaluating Inefficiencies with Task Specific Expert Pruning. ENLSP Soumajyoti Sarkar, Leonard Lausen, Volkan Cevher, Thomas Brox, Sheng Zha, George Karypis
2024	J	`jnl`	Revisiting SMoE Language Models by Evaluating Inefficiencies with Task Specific Expert Pruning. CoRR Soumajyoti Sarkar, Leonard Lausen, Volkan Cevher, Sheng Zha, Thomas Brox, George Karypis
2024	—	`conf`	SemPool: Simple, Robust, and Interpretable KG Pooling for Enhancing Language Models. PKDD (4) Costas Mavromatis, Petros Karypis, George Karypis
2024	J	`jnl`	SemPool: Simple, robust, and interpretable KG pooling for enhancing language models. CoRR Costas Mavromatis, Petros Karypis, George Karypis
2024	A	`conf`	The 3rd International Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom 2024). WSDM Vachik S. Dave, Linsey Pang, Xiquan Cui, Chen Luo, Hamed Zamani, Lingfei Wu, George Karypis
2024	J	`jnl`	TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting. IEEE Trans. Neural Networks Learn. Syst. Zonghan Wu, Da Zheng, Shirui Pan, Quan Gan, Guodong Long, George Karypis
2023	A*	`conf`	Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger. NeurIPS Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis
2023	—	`conf`	Automatic Table Union Search with Tabular Representation Learning. ACL (Findings) Xuming Hu, Shen Wang, Xiao Qin, Chuan Lei, Zhengyuan Shen, Christos Faloutsos, Asterios Katsifodimos, George Karypis, Lijie Wen, Philip S. Yu
2023	A*	`conf`	Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion. AAAI Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis
2023	J	`jnl`	Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion. CoRR Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis
2023	J	`jnl`	Coupling public and private gradient provably helps optimization. CoRR Ruixuan Liu, Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis
2023	B	`conf`	DSP: Efficient GNN Training with Multiple GPUs. PPoPP Zhenkun Cai, Qihui Zhou, Xiao Yan, Da Zheng, Xiang Song, Chenguang Zheng, James Cheng, George Karypis
2023	A*	`conf`	Differentially Private Optimization on Large Model at Small Cost. ICML Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis
2023	A	`conf`	DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training. SC Hongkuan Zhou, Da Zheng, Xiang Song, George Karypis, Viktor K. Prasanna
2023	J	`jnl`	DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training. CoRR Hongkuan Zhou, Da Zheng, Xiang Song, George Karypis, Viktor K. Prasanna
2023	J	`jnl`	Extending Input Contexts of Language Models through Training on Segmented Sequences. CoRR Petros Karypis, Julian J. McAuley, George Karypis
2023	Misc	`conf`	Global and Nodal Mutual Information Maximization in Heterogeneous Graphs. ICASSP Costas Mavromatis, George Karypis
2023	J	`jnl`	HYTREL: Hypergraph-enhanced Tabular Data Representation Learning. CoRR Pei Chen, Soumajyoti Sarkar, Leonard Lausen, Balasubramaniam Srinivasan, Sheng Zha, Ruihong Huang, George Karypis
2023	A*	`conf`	HyTrel: Hypergraph-enhanced Tabular Data Representation Learning. NeurIPS Pei Chen, Soumajyoti Sarkar, Leonard Lausen, Balasubramaniam Srinivasan, Sheng Zha, Ruihong Huang, George Karypis
2023	A*	`conf`	International Workshop on Multimodal Learning - 2023 Theme: Multimodal Learning with Foundation Models. KDD Yuan Ling, Fanyou Wu, Shujing Dong, Yarong Feng, George Karypis, Chandan K. Reddy
2023	J	`jnl`	Kernelized Multitask Learning Method for Personalized Signaling Adverse Drug Reactions. IEEE Trans. Knowl. Data Eng. Fan Yang, Fuzhong Xue, Yanchun Zhang, George Karypis
2023	A*	`conf`	Large Language Models of Code Fail at Completing Code with Potential Bugs. NeurIPS Tuan Dinh, Jinman Zhao, Samson Tan, Renato Negrinho, Leonard Lausen, Sheng Zha, George Karypis
2023	J	`jnl`	Large Language Models of Code Fail at Completing Code with Potential Bugs. CoRR Tuan Dinh, Jinman Zhao, Samson Tan, Renato Negrinho, Leonard Lausen, Sheng Zha, George Karypis
2023	J	`jnl`	Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space. CoRR Hengrui Zhang, Jiani Zhang, Balasubramaniam Srinivasan, Zhengyuan Shen, Xiao Qin, Christos Faloutsos, Huzefa Rangwala, George Karypis
2023	J	`jnl`	Multimodal Chain-of-Thought Reasoning in Language Models. CoRR Zhuosheng Zhang, Aston Zhang, Mu Li, Hai Zhao, George Karypis, Alex Smola
2023	A*	`conf`	NameGuess: Column Name Expansion for Tabular Data. EMNLP Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Shen Wang, Huzefa Rangwala, George Karypis
2023	J	`jnl`	NameGuess: Column Name Expansion for Tabular Data. CoRR Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Shen Wang, Huzefa Rangwala, George Karypis
2023	J	`jnl`	On the accuracy and efficiency of group-wise clipping in differentially private optimization. CoRR Zhiqi Bu, Ruixuan Liu, Yu-Xiang Wang, Sheng Zha, George Karypis
2023	J	`jnl`	Open Problems in (Hyper)Graph Decomposition. CoRR Deepak Ajwani, Rob H. Bisseling, Katrin Casel, Ümit V. Çatalyürek, Cédric Chevalier, Florian Chudigiewitsch, Marcelo Fonseca Faraj, Michael R. Fellows, Lars Gottesbüren, Tobias Heuer, George Karypis, Kamer Kaya, Jakub Lacki, Johannes Langguth, Xiaoye Sherry Li, Ruben Mayer, Johannes Meintrup, Yosuke Mizutani, François Pellegrini, Fabrizio Petrini, Frances A. Rosamond, Ilya Safro, Sebastian Schlag, Christian Schulz, Roohani Sharma, Darren Strash, Blair D. Sullivan, Bora Uçar, Albert-Jan Yzelman
2023	—	`conf`	Optimizing Irregular Dense Operators of Heterogeneous GNN Models on GPU. IPDPS Workshops Israt Nisa, Minjie Wang, Da Zheng, Qiang Fu, Ümit V. Çatalyürek, George Karypis
2023	J	`jnl`	OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization. CoRR Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu
2023	A*	`conf`	Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information. ICLR Yulun Wu, Robert A. Barton, Zichen Wang, Vassilis N. Ioannidis, Carlo De Donno, Layne C. Price, Luis F. Voloch, George Karypis
2023	J	`jnl`	Recent Trends in Graph Decomposition (Dagstuhl Seminar 23331). Dagstuhl Reports George Karypis, Christian Schulz, Darren Strash, Deepak Ajwani, Rob H. Bisseling, Katrin Casel, Ümit V. Çatalyürek, Cédric Chevalier, Florian Chudigiewitsch, Marcelo Fonseca Faraj, Michael R. Fellows, Lars Gottesbüren, Tobias Heuer, Kamer Kaya, Jakub Lacki, Johannes Langguth, Xiaoye Sherry Li, Ruben Mayer, Johannes Meintrup, Yosuke Mizutani, François Pellegrini, Fabrizio Petrini, Frances A. Rosamond, Ilya Safro, Sebastian Schlag, Roohani Sharma, Blair D. Sullivan, Bora Uçar, Albert-Jan Yzelman
2023	A*	`conf`	STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. ICLR Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henghui Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, Zhiheng Huang, William Yang Wang, George Karypis, Bing Xiang, Dan Roth
2023	J	`jnl`	STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. CoRR Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henry Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, William Yang Wang, Zhiheng Huang, George Karypis, Bing Xiang, Dan Roth
2023	—	`conf`	The 2nd Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom). WWW (Companion Volume) Vachik S. Dave, Linsey Pang, Xiquan Cui, Lingfei Wu, Hamed Zamani, George Karypis
2023	—	`conf`	Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs. ECML/PKDD (3) Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis
2023	J	`jnl`	Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs. CoRR Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis
2023	—	`conf`	Tutorials at The Web Conference 2023. WWW (Companion Volume) Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
2023	J	`jnl`	Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection. CoRR Costas Mavromatis, Balasubramaniam Srinivasan, Zhengyuan Shen, Jiani Zhang, Huzefa Rangwala, Christos Faloutsos, George Karypis
2023	A*	`conf`	XTab: Cross-table Pretraining for Tabular Transformers. ICML Bingzhao Zhu, Xingjian Shi, Nick Erickson, Mu Li, George Karypis, Mahsa Shoaran
2023	J	`jnl`	XTab: Cross-table Pretraining for Tabular Transformers. CoRR Bingzhao Zhu, Xingjian Shi, Nick Erickson, Mu Li, George Karypis, Mahsa Shoaran
2023	J	`jnl`	Zero redundancy distributed learning with differential privacy. CoRR Zhiqi Bu, Justin Chiu, Ruixuan Liu, Sheng Zha, George Karypis
2022	J	`jnl`	Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis
2022	J	`jnl`	Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger. CoRR Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis
2022	A*	`conf`	Coarse-to-Fine Sparse Sequential Recommendation. SIGIR Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel, Julian J. McAuley
2022	J	`jnl`	Coarse-to-Fine Sparse Sequential Recommendation. CoRR Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel, Julian J. McAuley
2022	J	`jnl`	Differentially Private Bias-Term only Fine-tuning of Foundation Models. CoRR Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis
2022	J	`jnl`	Differentially Private Optimization on Large Model at Small Cost. CoRR Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis
2022	A*	`conf`	Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Heterogeneous Graphs. KDD Da Zheng, Xiang Song, Chengru Yang, Dominique LaSalle, George Karypis
2022	J	`jnl`	Efficient and effective training of language and graph neural network models. CoRR Vassilis N. Ioannidis, Xiang Song, Da Zheng, Houyu Zhang, Jun Ma, Yi Xu, Belinda Zeng, Trishul Chilimbi, George Karypis
2022	—	`conf`	Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning. NAACL-HLT Vishakh Padmakumar, Leonard Lausen, Miguel Ballesteros, Sheng Zha, He He, George Karypis
2022	J	`jnl`	Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning. CoRR Vishakh Padmakumar, Leonard Lausen, Miguel Ballesteros, Sheng Zha, He He, George Karypis
2022	J	`jnl`	FERN: Fair Team Formation for Mutually Beneficial Collaborative Learning. IEEE Trans. Learn. Technol. Maria Kalantzi, Agoritsa Polyzou, George Karypis
2022	A	`conf`	Graph Neural Network Research at AWS AI. WSDM George Karypis
2022	A*	`conf`	Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties. NeurIPS Zeren Shui, Daniel S. Karls, Mingjian Wen, Ilia A. Nikiforov, Ellad B. Tadmor, George Karypis
2022	J	`jnl`	Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties. CoRR Zeren Shui, Daniel S. Karls, Mingjian Wen, Ilia A. Nikiforov, Ellad B. Tadmor, George Karypis
2022	—	`conf`	Joint Learning of Hierarchical Community Structure and Node Representations: An Unsupervised Approach. ECML/PKDD (2) Ancy Sarah Tom, Nesreen K. Ahmed, George Karypis
2022	J	`jnl`	Joint Learning of Hierarchical Community Structure and Node Representations: An Unsupervised Approach. CoRR Ancy Sarah Tom, Nesreen K. Ahmed, George Karypis
2022	A	`conf`	Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback. AISTATS Trong Nghia Hoang, Anoop Deoras, Tong Zhao, Jin Li, George Karypis
2022	J	`jnl`	Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback. CoRR Trong Nghia Hoang, Anoop Deoras, Tong Zhao, Jin Li, George Karypis
2022	—	`conf`	Meta-learning via Language Model In-context Tuning. ACL (1) Yanda Chen, Ruiqi Zhong, Sheng Zha, George Karypis, He He
2022	J	`jnl`	MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud. CoRR Zhen Zhang, Shuai Zheng, Yida Wang, Justin Chiu, George Karypis, Trishul Chilimbi, Mu Li, Xin Jin
2022	J	`jnl`	MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud. Proc. VLDB Endow. Zhen Zhang, Shuai Zheng, Yida Wang, Justin Chiu, George Karypis, Trishul Chilimbi, Mu Li, Xin Jin
2022	A*	`conf`	Nimble GNN Embedding with Tensor-Train Decomposition. KDD Chunxing Yin, Da Zheng, Israt Nisa, Christos Faloutsos, George Karypis, Richard W. Vuduc
2022	J	`jnl`	Nimble GNN Embedding with Tensor-Train Decomposition. CoRR Chunxing Yin, Da Zheng, Israt Nisa, Christos Faloutsos, George Karypis, Richard W. Vuduc
2022	J	`jnl`	Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information. CoRR Yulun Wu, Robert A. Barton, Zichen Wang, Vassilis N. Ioannidis, Carlo De Donno, Layne C. Price, Luis F. Voloch, George Karypis
2022	—	`conf`	PropInit: Scalable Inductive Initialization for Heterogeneous Graph Neural Networks. ICKG Soji Adeshina, Jian Zhang, Muhyun Kim, Min Chen, Rizal Fathony, Advitiya Vashisht, Jia Chen, George Karypis
2022	—	`conf`	ReaRev: Adaptive Reasoning for Question Answering over Knowledge Graphs. EMNLP (Findings) Costas Mavromatis, George Karypis
2022	J	`jnl`	ReaRev: Adaptive Reasoning for Question Answering over Knowledge Graphs. CoRR Costas Mavromatis, George Karypis
2022	J	`jnl`	SMILE: Scaling Mixture-of-Experts with Efficient Bi-level Routing. CoRR Chaoyang He, Shuai Zheng, Aston Zhang, George Karypis, Trishul Chilimbi, Mahdi Soltanolkotabi, Salman Avestimehr
2022	J	`jnl`	Scalable Label Propagation for Multi-Relational Learning on the Tensor Product of Graphs. IEEE Trans. Knowl. Data Eng. Zhuliu Li, Raphael Petegrosso, Shaden Smith, David Sterling, George Karypis, Rui Kuang
2022	—	`conf`	ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning. LoG Zhenwei Dai, Vasileios Ioannidis, Soji Adeshina, Zak Jost, Christos Faloutsos, George Karypis
2022	J	`jnl`	ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning. CoRR Zhenwei Dai, Vasileios Ioannidis, Soji Adeshina, Zak Jost, Christos Faloutsos, George Karypis
2022	J	`jnl`	TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs. CoRR Hongkuan Zhou, Da Zheng, Israt Nisa, Vasileios Ioannidis, Xiang Song, George Karypis
2022	J	`jnl`	TGL: A General Framework for Temporal GNN Training onBillion-Scale Graphs. Proc. VLDB Endow. Hongkuan Zhou, Da Zheng, Israt Nisa, Vassilis N. Ioannidis, Xiang Song, George Karypis
2022	A*	`conf`	TempoQR: Temporal Question Reasoning over Knowledge Graphs. AAAI Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Adesoji Adeshina, Phillip Ryan Howard, Tetiana Grinberg, Nagib Hakim, George Karypis
2022	—	`ch.`	Trust Your Neighbors: A Comprehensive Survey of Neighborhood-Based Methods for Recommender Systems. Recommender Systems Handbook Athanasios N. Nikolakopoulos, Xia Ning, Christian Desrosiers, George Karypis
2022	J	`jnl`	Variational Causal Inference. CoRR Yulun Wu, Layne C. Price, Zichen Wang, Vassilis N. Ioannidis, George Karypis
2021	A*	`conf`	2nd International Workshop on Industrial Recommendation Systems (IRS). KDD Jianpeng Xu, Lingfei Wu, Xiaolin Pang, Mohit Sharma, Dawei Yin, George Karypis, Justin Basilico, Philip S. Yu
2021	J	`jnl`	An Empirical Comparison of Deep Learning Models for Knowledge Tracing on Large-Scale Dataset. CoRR Shalini Pandey, George Karypis, Jaideep Srivastava
2021	J	`jnl`	Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. CoRR Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis
2021	J	`jnl`	Benchmarking Accuracy and Generalizability of Four Graph Neural Networks Using Large In Vitro ADME Datasets from Different Chemical Spaces. CoRR Fabio Broccatelli, Richard Trager, Michael Reutlinger, George Karypis, Mufei Li
2021	J	`jnl`	DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life Science. CoRR Mufei Li, Jinjing Zhou, Jiajing Hu, Wenxuan Fan, Yangkang Zhang, Yaxin Gu, George Karypis
2021	—	`conf`	Distant-Supervised Slot-Filling for E-Commerce Queries. IEEE BigData Saurav Manchanda, Mohit Sharma, George Karypis
2021	—	`conf`	Distiller: A Systematic Study of Model Distillation Methods in Natural Language Processing. SustaiNLP@EMNLP Haoyu He, Xingjian Shi, Jonas Mueller, Sheng Zha, Mu Li, George Karypis
2021	J	`jnl`	Distiller: A Systematic Study of Model Distillation Methods in Natural Language Processing. CoRR Haoyu He, Xingjian Shi, Jonas Mueller, Sheng Zha, Mu Li, George Karypis
2021	J	`jnl`	Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Graphs. CoRR Da Zheng, Xiang Song, Chengru Yang, Dominique LaSalle, Qidong Su, Minjie Wang, Chao Ma, George Karypis
2021	A	`conf`	EX3: Explainable Attribute-aware Item-set Recommendations. RecSys Yikun Xian, Tong Zhao, Jin Li, Jim Chan, Andrey Kan, Jun Ma, Xin Luna Dong, Christos Faloutsos, George Karypis, S. Muthukrishnan, Yongfeng Zhang
2021	—	`conf`	Evaluating Scholarly Impact: Towards Content-Aware Bibliometrics. EMNLP (1) Saurav Manchanda, George Karypis
2021	J	`jnl`	FaiREO: User Group Fairness for Equality of Opportunity in Course Recommendation. CoRR Agoritsa Polyzou, Maria Kalantzi, George Karypis
2021	A*	`conf`	Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs. KDD Jialin Dong, Da Zheng, Lin F. Yang, George Karypis
2021	J	`jnl`	Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs. CoRR Jialin Dong, Da Zheng, Lin F. Yang, George Karypis
2021	—	`conf`	Graph InfoClust: Maximizing Coarse-Grain Mutual Information in Graphs. PAKDD (1) Costas Mavromatis, George Karypis
2021	J	`jnl`	HeMI: Multi-view Embedding in Heterogeneous Graphs. CoRR Costas Mavromatis, George Karypis
2021	—	`conf`	IACN: Influence-Aware and Attention-Based Co-evolutionary Network for Recommendation. PAKDD (2) Shalini Pandey, George Karypis, Jaideep Srivastava
2021	J	`jnl`	IACN: Influence-aware and Attention-based Co-evolutionary Network for Recommendation. CoRR Shalini Pandey, George Karypis, Jaideep Srivastava
2021	—	`conf`	Importance Assessment in Scholarly Networks. SDU@AAAI Saurav Manchanda, George Karypis
2021	J	`jnl`	Learning Student Interest Trajectory for MOOCThread Recommendation. CoRR Shalini Pandey, Andrew S. Lan, George Karypis, Jaideep Srivastava
2021	A	`conf`	Learning over Families of Sets - Hypergraph Representation Learning for Higher Order Tasks. SDM Balasubramaniam Srinivasan, Da Zheng, George Karypis
2021	J	`jnl`	Learning over Families of Sets - Hypergraph Representation Learning for Higher Order Tasks. CoRR Balasubramaniam Srinivasan, Da Zheng, George Karypis
2021	J	`jnl`	Meta-learning via Language Model In-context Tuning. CoRR Yanda Chen, Ruiqi Zhong, Sheng Zha, George Karypis, He He
2021	—	`conf`	Position-based Hash Embeddings For Scaling Graph Neural Networks. IEEE BigData Maria Kalantzi, George Karypis
2021	J	`jnl`	Position-based Hash Embeddings For Scaling Graph Neural Networks. CoRR Maria Kalantzi, George Karypis
2021	J	`jnl`	Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation. CoRR Cole Hawkins, Vassilis N. Ioannidis, Soji Adeshina, George Karypis
2021	A	`conf`	Scalable Graph Neural Networks with Deep Graph Library. WSDM Da Zheng, Minjie Wang, Quan Gan, Xiang Song, Zheng Zhang, George Karypis
2021	—	`conf`	Schema-Aware Deep Graph Convolutional Networks for Heterogeneous Graphs. IEEE BigData Saurav Manchanda, Da Zheng, George Karypis
2021	J	`jnl`	Schema-Aware Deep Graph Convolutional Networks for Heterogeneous Graphs. CoRR Saurav Manchanda, Da Zheng, George Karypis
2021	J	`jnl`	TempoQR: Temporal Question Reasoning over Knowledge Graphs. CoRR Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Soji Adeshina, Phillip Ryan Howard, Tetiana Grinberg, Nagib Hakim, George Karypis
2021	J	`jnl`	TraverseNet: Unifying Space and Time in Message Passing. CoRR Zonghan Wu, Da Zheng, Shirui Pan, Quan Gan, Guodong Long, George Karypis
2021	J	`jnl`	Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems. CoRR Athanasios N. Nikolakopoulos, Xia Ning, Christian Desrosiers, George Karypis
2021	—	`conf`	Universal Representation for Code. PAKDD (3) Linfeng Liu, Hoan Nguyen, George Karypis, Srinivasan Sengamedu
2021	J	`jnl`	Universal Representation for Code. CoRR Linfeng Liu, Hoan Nguyen, George Karypis, Srinivasan Sengamedu
2020	J	`jnl`	Boosting Item-based Collaborative Filtering via Nearly Uncoupled Random Walks. ACM Trans. Knowl. Discov. Data Athanasios N. Nikolakopoulos, George Karypis
2020	A*	`conf`	CAWA: An Attention-Network for Credit Attribution. AAAI Saurav Manchanda, George Karypis
2020	J	`jnl`	COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature. CoRR Colby Wise, Vassilis N. Ioannidis, Miguel Romero Calvo, Xiang Song, George Price, Ninad Kulkarni, Ryan Brand, Parminder Bhatia, George Karypis
2020	J	`jnl`	Context-aware Non-linear and Neural Attentive Knowledge-based Models for Grade Prediction. CoRR Sara Morsy, George Karypis
2020	A*	`conf`	DGL-KE: Training Knowledge Graph Embeddings at Scale. SIGIR Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Dong, Hao Xiong, Zheng Zhang, George Karypis
2020	J	`jnl`	DGL-KE: Training Knowledge Graph Embeddings at Scale. CoRR Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Dong, Hao Xiong, Zheng Zhang, George Karypis
2020	—	`conf`	DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. IA3@SC Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis
2020	J	`jnl`	DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. CoRR Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis
2020	J	`jnl`	Distant-Supervised Slot-Filling for E-Commerce Queries. CoRR Saurav Manchanda, Mohit Sharma, George Karypis
2020	J	`jnl`	FERN: Fair Team Formation for Mutually Beneficial Collaborative Learning. CoRR Maria Kalantzi, Agoritsa Polyzou, George Karypis
2020	J	`jnl`	Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing. CoRR Vassilis N. Ioannidis, Da Zheng, George Karypis
2020	—	`conf`	GrAPL 2020 Keynote Speaker Deep Graph Library: Overview, Updates, and Future Developments. IPDPS Workshops George Karypis
2020	J	`jnl`	Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning. CoRR Costas Mavromatis, George Karypis
2020	A*	`conf`	Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties. ICDM Zeren Shui, George Karypis
2020	J	`jnl`	Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties. CoRR Zeren Shui, George Karypis
2020	—	`conf`	Learning Graph Neural Networks with Deep Graph Library. WWW (Companion Volume) Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis
2020	—	`conf`	Learning Student Interest Trajectory for MOOC Thread Recommendation. ICDM (Workshops) Shalini Pandey, Andrew S. Lan, George Karypis, Jaideep Srivastava
2020	J	`jnl`	PanRep: Universal node embeddings for heterogeneous graphs. CoRR Vassilis N. Ioannidis, Da Zheng, George Karypis
2020	J	`jnl`	Repurpose Open Data to Discover Therapeutics for COVID-19 using Deep Learning. CoRR Xiangxiang Zeng, Xiang Song, Tengfei Ma, Xiaoqin Pan, Yadi Zhou, Yuan Hou, Zheng Zhang, George Karypis, Feixiong Cheng
2020	A*	`conf`	Scalable Graph Neural Networks with Deep Graph Library. KDD Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis
2019	B	`ed.`	2019 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2019, Washington, DC, USA, October 5-8, 2019 DSAA Lisa Singh, Richard D. De Veaux, George Karypis, Francesco Bonchi, Jennifer Hill
2019	B	`conf`	A 2D Parallel Triangle Counting Algorithm for Distributed-Memory Architectures. ICPP Ancy Sarah Tom, George Karypis
2019	J	`jnl`	A 2D Parallel Triangle Counting Algorithm for Distributed-Memory Architectures. CoRR Ancy Sarah Tom, George Karypis
2019	B	`conf`	A Self Attentive model for Knowledge Tracing. EDM Shalini Pandey, George Karypis
2019	J	`jnl`	A Self-Attentive model for Knowledge Tracing. CoRR Shalini Pandey, George Karypis
2019	A	`conf`	A Study on Curriculum Planning and Its Relationship with Graduation GPA and Time To Degree. LAK Sara Morsy, George Karypis
2019	J	`jnl`	Adaptive Matrix Completion for the Users and the Items in Tail. CoRR Mohit Sharma, George Karypis
2019	A*	`conf`	Adaptive matrix completion for the users and the items in tail. WWW Mohit Sharma, George Karypis
2019	J	`jnl`	Boosting Item-based Collaborative Filtering via Nearly Uncoupled Random Walks. CoRR Athanasios N. Nikolakopoulos, George Karypis
2019	J	`jnl`	CAWA: An Attention-Network for Credit Attribution. CoRR Saurav Manchanda, George Karypis
2019	B	`conf`	Causal Inference in Higher Education: Building Better Curriculums. L@S Prableen Kaur, Agoritsa Polyzou, George Karypis
2019	J	`jnl`	Distributed representation of multi-sense words: A loss-driven approach. CoRR Saurav Manchanda, George Karypis
2019	J	`jnl`	Feature Extraction for Next-Term Prediction of Poor Student Performance. IEEE Trans. Learn. Technol. Agoritsa Polyzou, George Karypis
2019	J	`jnl`	Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation. CoRR Mohit Sharma, Jiayu Zhou, Junling Hu, George Karypis
2019	J	`jnl`	Grade prediction with course and student specific models. CoRR Agoritsa Polyzou, George Karypis
2019	A	`conf`	Intent Term Weighting in E-commerce Queries. CIKM Saurav Manchanda, Mohit Sharma, George Karypis
2019	J	`jnl`	Intent term selection and refinement in e-commerce queries. CoRR Saurav Manchanda, Mohit Sharma, George Karypis
2019	J	`jnl`	Learning from Sets of Items in Recommender Systems. CoRR Mohit Sharma, F. Maxwell Harper, George Karypis
2019	J	`jnl`	Learning from Sets of Items in Recommender Systems. ACM Trans. Interact. Intell. Syst. Mohit Sharma, F. Maxwell Harper, George Karypis
2019	B	`conf`	Neural Attentive Knowledge-based Model for Grade Prediction. EDM Sara Morsy, George Karypis
2019	J	`jnl`	Parallel cosine nearest neighbor graph construction. J. Parallel Distributed Comput. David C. Anastasiu, George Karypis
2019	A	`conf`	Personalized diffusions for top-n recommendation. RecSys Athanasios N. Nikolakopoulos, Dimitris Berberidis, George Karypis, Georgios B. Giannakis
2019	A*	`ed.`	Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019. KDD Ankur Teredesai, Vipin Kumar, Ying Li, Rómer Rosales, Evimaria Terzi, George Karypis
2019	A	`conf`	RecWalk: Nearly Uncoupled Random Walks for Top-N Recommendation. WSDM Athanasios N. Nikolakopoulos, George Karypis
2019	B	`conf`	Scholars Walk: A Markov Chain Framework for Course Recommendation. EDM Agoritsa Polyzou, Athanasios N. Nikolakopoulos, George Karypis
2019	J	`jnl`	Sparse Neural Attentive Knowledge-based Models for Grade Prediction. CoRR Sara Morsy, George Karypis
2019	—	`conf`	Streaming and Batch Algorithms for Truss Decomposition. GC Venkata Rohit Jakkula, George Karypis
2019	J	`jnl`	Streaming and Batch Algorithms for Truss Decomposition. CoRR Venkata Rohit Jakkula, George Karypis
2019	—	`conf`	Structured Dictionary Learning for Energy Disaggregation. e-Energy Shalini Pandey, George Karypis
2019	J	`jnl`	Structured Dictionary Learning for Energy Disaggregation. CoRR Shalini Pandey, George Karypis
2019	J	`jnl`	Text segmentation on multilabel documents: A distant-supervised approach. CoRR Saurav Manchanda, George Karypis
2019	A	`conf`	UPM: Discovering Course Enrollment Sequences Associated with Success. LAK Asmaa Elbadrawy, George Karypis
2019	J	`jnl`	Will this Course Increase or Decrease Your GPA? Towards Grade-aware Course Recommendation. CoRR Sara Morsy, George Karypis
2018	J	`jnl`	A virtual memory manager optimized for node-level cooperative multi-tasking in memory constrained systems. Int. J. High Perform. Comput. Appl. Jeremy Iverson, George Karypis
2018	—	`conf`	Distributed Representation of Multi-sense Words: A Loss Driven Approach. PAKDD (2) Saurav Manchanda, George Karypis
2018	—	`ch.`	Document Clustering. Encyclopedia of Database Systems (2nd ed.) Ying Zhao, George Karypis
2018	B	`conf`	Feature extraction for classifying students based on their academic performance. EDM Agoritsa Polyzou, George Karypis
2018	J	`jnl`	HPC formulations of optimization algorithms for tensor completion. Parallel Comput. Shaden Smith, Jongsoo Park, George Karypis
2018	A*	`conf`	Local Latent Space Models for Top-N Recommendation. KDD Evangelia Christakopoulou, George Karypis
2018	J	`jnl`	NSF BIGDATA PI Meeting - Domain-Specific Research Directions and Data Sets. SIGMOD Rec. Lisa Singh, Amol Deshpande, Wenchao Zhou, Arindam Banerjee, Alex J. Bowers, Sorelle A. Friedler, H. V. Jagadish, George Karypis, Zoran Obradovic, Anil Vullikanti, Wangda Zuo
2018	—	`conf`	Recent Advances in Recommender Systems: Sets, Local Models, Coverage, and Errors. WWW (Companion Volume) George Karypis
2018	—	`ch.`	Scalability and Distribution of Collaborative Recommenders. Collaborative Recommendations Evangelia Christakopoulou, Shaden Smith, Mohit Sharma, Alex Richards, David C. Anastasiu, George Karypis
2018	J	`jnl`	Scalable Label Propagation for Multi-relational Learning on Tensor Product Graph. CoRR Zhuliu Li, Raphael Petegrosso, Shaden Smith, David Sterling, George Karypis, Rui Kuang
2018	A	`conf`	Streaming Tensor Factorization for Infinite Data Sources. SDM Shaden Smith, Kejun Huang, Nicholas D. Sidiropoulos, George Karypis
2018	A*	`conf`	Text Segmentation on Multilabel Documents: A Distant-Supervised Approach. ICDM Saurav Manchanda, George Karypis
2017	—	`ed.`	2017 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2017, New Orleans, LA, USA, November 18-21, 2017 ICDM Workshops Raju Gottumukkala, Xia Ning, Guozhu Dong, Vijay Raghavan, Srinivas Aluru, George Karypis, Lucio Miele, Xindong Wu
2017	A*	`ed.`	2017 IEEE International Conference on Data Mining, ICDM 2017, New Orleans, LA, USA, November 18-21, 2017 ICDM Vijay Raghavan, Srinivas Aluru, George Karypis, Lucio Miele, Xindong Wu
2017	—	`ed.`	2017 IEEE International Congress on Big Data, BigData Congress 2017, Honolulu, HI, USA, June 25-30, 2017 BigData Congress George Karypis, Jia Zhang
2017	—	`conf`	Accelerating the Tucker Decomposition with Compressed Sparse Tensors. Euro-Par Shaden Smith, George Karypis
2017	B	`conf`	Constrained Tensor Factorization with Accelerated AO-ADMM. ICPP Shaden Smith, Alec Beri, George Karypis
2017	J	`jnl`	Context-Aware Recommendation-Based Learning Analytics Using Tensor and Coupled Matrix Factorization. IEEE J. Sel. Top. Signal Process. Faisal M. Almutairi, Nicholas D. Sidiropoulos, George Karypis
2017	A	`conf`	Cumulative Knowledge-based Regression Models for Next-term Grade Prediction. SDM Sara Morsy, George Karypis
2017	J	`jnl`	Efficient identification of Tanimoto nearest neighbors. Int. J. Data Sci. Anal. David C. Anastasiu, George Karypis
2017	B	`conf`	Enriching Course-Specific Regression Models with Content Features for Grade Prediction. DSAA Qian Hu, Agoritsa Polyzou, George Karypis, Huzefa Rangwala
2017	—	`conf`	Exploring optimizations on shared-memory platforms for parallel triangle counting algorithms. HPEC Ancy Sarah Tom, Narayanan Sundaram, Nesreen K. Ahmed, Shaden Smith, Stijn Eyerman, Midhunchandra Kodiyath, Ibrahim Hur, Fabrizio Petrini, George Karypis
2017	A	`conf`	Improving Higher Education: Learning Analytics & Recommender Systems Research. RecSys George Karypis
2017	A	`conf`	Sparse Tensor Factorization on Many-Core Processors with High-Bandwidth Memory. IPDPS Shaden Smith, Jongsoo Park, George Karypis
2017	—	`conf`	Truss decomposition on shared-memory parallel systems. HPEC Shaden Smith, Xing Liu, Nesreen K. Ahmed, Ancy Sarah Tom, Fabrizio Petrini, George Karypis
2016	—	`ed.`	2016 IEEE International Conference on Big Data (IEEE BigData 2016), Washington DC, USA, December 5-8, 2016 IEEE BigData James Joshi, George Karypis, Ling Liu, Xiaohua Hu, Ronay Ak, Yinglong Xia, Weijia Xu, Aki-Hiro Sato, Sudarsan Rachuri, Lyle H. Ungar, Philip S. Yu, Rama Govindaraju, Toyotaro Suzumura
2016	A	`conf`	A Medium-Grained Algorithm for Sparse Tensor Factorization. IPDPS Shaden Smith, George Karypis
2016	B	`conf`	A Parallel Hill-Climbing Refinement Algorithm for Graph Partitioning. ICPP Dominique LaSalle, George Karypis
2016	J	`jnl`	Accounting for Language Changes Over Time in Document Similarity Search. ACM Trans. Inf. Syst. Sara Morsy, George Karypis
2016	A	`conf`	An exploration of optimization algorithms for high performance tensor completion. SC Shaden Smith, Jongsoo Park, George Karypis
2016	A	`conf`	Domain-Aware Grade Prediction and Top-n Course Recommendation. RecSys Asmaa Elbadrawy, George Karypis
2016	B	`conf`	Efficient Identification of Tanimoto Nearest Neighbors. DSAA David C. Anastasiu, George Karypis
2016	—	`conf`	Fast Parallel Cosine K-Nearest Neighbor Graph Construction. IA3@SC David C. Anastasiu, George Karypis
2016	—	`conf`	Grade Prediction with Course and Student Specific Models. PAKDD (1) Agoritsa Polyzou, George Karypis
2016	J	`jnl`	Grade prediction with models specific to students and courses. Int. J. Data Sci. Anal. Agoritsa Polyzou, George Karypis
2016	A	`conf`	Local Item-Item Models For Top-N Recommendation. RecSys Evangelia Christakopoulou, George Karypis
2016	J	`jnl`	Predicting Student Performance Using Personalized Analytics. Computer Asmaa Elbadrawy, Agoritsa Polyzou, Zhiyun Ren, Mackenzie Sweeney, George Karypis, Huzefa Rangwala
2015	—	`ch.`	A Comprehensive Survey of Neighborhood-Based Recommendation Methods. Recommender Systems Handbook Xia Ning, Christian Desrosiers, George Karypis
2015	C	`conf`	A Memory Management System Optimized for BDMPI's Memory and Execution Model. EuroMPI Jeremy Iverson, George Karypis
2015	J	`jnl`	Algorithms for Mining the Coevolving Relational Motifs in Dynamic Networks. ACM Trans. Knowl. Discov. Data Rezwan Ahmed, George Karypis
2015	A	`conf`	Collaborative multi-regression models for predicting students' performance in course activities. LAK Asmaa Elbadrawy, R. Scott Studham, George Karypis
2015	—	`conf`	Efficient Nested Dissection for Multicore Architectures. Euro-Par Dominique LaSalle, George Karypis
2015	J	`jnl`	Evaluation of connected-component labeling algorithms for distributed-memory systems. Parallel Comput. Jeremy Iverson, Chandrika Kamath, George Karypis
2015	A	`conf`	Feature-based factorized Bilinear Similarity Model for Cold-Start Top- SDM Mohit Sharma, Jiayu Zhou, Junling Hu, George Karypis
2015	—	`conf`	Improving graph partitioning for modern graphs and architectures. IA3@SC Dominique LaSalle, Md. Mostofa Ali Patwary, Nadathur Satish, Narayanan Sundaram, Pradeep Dubey, George Karypis
2015	A	`conf`	L2Knng: Fast Exact K-Nearest Neighbor Graph Construction with L2-Norm Pruning. CIKM David C. Anastasiu, George Karypis
2015	J	`jnl`	Multi-threaded modularity based graph clustering using the multilevel paradigm. J. Parallel Distributed Comput. Dominique LaSalle, George Karypis
2015	—	`conf`	PL2AP: fast parallel cosine similarity search. IA3@SC David C. Anastasiu, George Karypis
2015	—	`conf`	Recent Advances in Recommender Systems and Future Directions. PReMI Xia Ning, George Karypis
2015	A	`conf`	SPLATT: Efficient and Parallel Sparse Tensor-Matrix Multiplication. IPDPS Shaden Smith, Niranjay Ravindran, Nicholas D. Sidiropoulos, George Karypis
2015	—	`conf`	Tensor-matrix products with a compressed sparse tensor. IA3@SC Shaden Smith, George Karypis
2015	A*	`conf`	Understanding computer usage evolution. ICDE David C. Anastasiu, Al Mamunur Rashid, Andrea Tagarelli, George Karypis
2015	J	`jnl`	User-Specific Feature-Based Similarity Models for Top- ACM Trans. Intell. Syst. Technol. Asmaa Elbadrawy, George Karypis
2014	—	`ch.`	Big Data Frequent Pattern Mining. Frequent Pattern Mining David C. Anastasiu, Jeremy Iverson, Shaden Smith, George Karypis
2014	—	`conf`	HOSLIM: Higher-Order Sparse LInear Method for Top-N Recommender Systems. PAKDD (2) Evangelia Christakopoulou, George Karypis
2014	A*	`conf`	L2AP: Fast cosine similarity search with prefix L-2 norm bounds. ICDE David C. Anastasiu, George Karypis
2014	J	`jnl`	MPI for Big Data: New tricks for an old dog. Parallel Comput. Dominique LaSalle, George Karypis
2014	Misc	`conf`	Memory-efficient parallel computation of tensor and matrix products for big tensor decomposition. ACSSC Niranjay Ravindran, Nicholas D. Sidiropoulos, Shaden Smith, George Karypis
2014	—	`conf`	NLMF: NonLinear Matrix Factorization Methods for Top-N Recommender Systems. ICDM Workshops Santosh Kabbur, George Karypis
2014	—	`conf`	Opportunities for data-driven cloud-based mobile optimization. CTS William Myott, Thao Nguyen, Abhishek Chandra, George Karypis, Jon B. Weissman
2014	—	`conf`	Signaling adverse drug reactions with novel feature-based similarity model. BIBM Fan Yang, Xiaohui Yu, George Karypis
2014	B	`conf`	Welcome from DSAA 2014 chairs. DSAA Philip S. Yu, Masaru Kitsuregawa, Hiroshi Motoda, Bart Goethals, Minyi Guo, Longbing Cao, George Karypis, Irwin King, Wei Wang
2013	—	`ed.`	13th IEEE International Conference on Data Mining Workshops, ICDM Workshops, TX, USA, December 7-10, 2013 ICDM Workshops Wei Ding, Takashi Washio, Hui Xiong, George Karypis, Bhavani Thuraisingham, Diane J. Cook, Xindong Wu
2013	A*	`ed.`	2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013 ICDM Hui Xiong, George Karypis, Bhavani Thuraisingham, Diane J. Cook, Xindong Wu
2013	B	`conf`	A Versatile Graph-Based Approach to Package Recommendation. ICTAI Roberto Interdonato, Salvatore Romeo, Andrea Tagarelli, George Karypis
2013	J	`jnl`	A novel two-box search paradigm for query disambiguation. World Wide Web David C. Anastasiu, Byron J. Gao, Xing Jiang, George Karypis
2013	J	`jnl`	A segment-based approach to clustering multi-topic documents. Knowl. Inf. Syst. Andrea Tagarelli, George Karypis
2013	—	`conf`	AREM: A Novel Associative Regression Model Based on EM Algorithm. PAKDD (1) Zhonghua Jiang, George Karypis
2013	—	`conf`	BDMPI: conquering BigData with small clusters using MPI. DISCS@SC Dominique LaSalle, George Karypis
2013	—	`ch.`	Document Clustering: The Next Frontier. Data Clustering: Algorithms and Applications David C. Anastasiu, Andrea Tagarelli, George Karypis
2013	A*	`conf`	FISM: factored item similarity models for top-N recommender systems. KDD Santosh Kabbur, Xia Ning, George Karypis
2013	A	`conf`	Multi-threaded Graph Partitioning. IPDPS Dominique LaSalle, George Karypis
2013	J	`jnl`	Pareto Optimal Pairwise Sequence Alignment. IEEE ACM Trans. Comput. Biol. Bioinform. Kevin W. DeRonne, George Karypis
2013	—	`ed.`	Proceedings of the 12th International Workshop on Data Mining in Bioinformatics, BIOKDD 2013, Chicago, IL, USA, August 11, 2013 BIOKDD Gaurav Pandey, Huzefa Rangwala, George Karypis, Jake Yue Chen, Mohammed Javeed Zaki
2013	A	`ed.`	Seventh ACM Conference on Recommender Systems, RecSys '13, Hong Kong, China, October 12-16, 2013 RecSys Qiang Yang, Irwin King, Qing Li, Pearl Pu, George Karypis
2012	C	`ed.`	Advanced Data Mining and Applications, 8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012. Proceedings ADMA Shuigeng Zhou, Songmao Zhang, George Karypis
2012	J	`jnl`	Algorithms for mining the evolution of conserved relational states in dynamic networks. Knowl. Inf. Syst. Rezwan Ahmed, George Karypis
2012	J	`jnl`	Computational tools for protein-DNA interactions. WIREs Data Mining Knowl. Discov. Christopher Kauffman, George Karypis
2012	—	`conf`	Fast and Effective Lossy Compression Algorithms for Scientific Datasets. Euro-Par Jeremy Iverson, Chandrika Kamath, George Karypis
2012	J	`jnl`	Improved Machine Learning Models for Predicting Selective Compounds. J. Chem. Inf. Model. Xia Ning, Michael A. Walters, George Karypis
2012	J	`jnl`	Improved Machine Learning Models for Predicting Selective Compounds. J. Chem. Inf. Model. Xia Ning, Michael A. Walters, George Karypis
2012	J	`jnl`	Multi-view learning via probabilistic latent semantic analysis. Inf. Sci. Fuzhen Zhuang, George Karypis, Xia Ning, Qing He, Zhongzhi Shi
2012	—	`conf`	Sparse linear methods with side information for Top-N recommendations. WWW (Companion Volume) Xia Ning, George Karypis
2012	A	`conf`	Sparse linear methods with side information for top-n recommendations. RecSys Xia Ning, George Karypis
2012	—	`conf`	Topic Modeling for Segment-based Documents. SEBD Giovanni Ponti, Andrea Tagarelli, George Karypis
2011	—	`ch.`	A Comprehensive Survey of Neighborhood-based Recommendation Methods. Recommender Systems Handbook Christian Desrosiers, George Karypis
2011	B	`conf`	A Statistical Model for Topically Segmented Documents. Discovery Science Giovanni Ponti, Andrea Tagarelli, George Karypis
2011	A*	`conf`	Algorithms for Mining the Evolution of Conserved Relational States in Dynamic Networks. ICDM Rezwan Ahmed, George Karypis
2011	—	`conf`	Automatic detection of vaccine adverse reactions by incorporating historical medical conditions. BCB Zhonghua Jiang, George Karypis
2011	—	`conf`	Improved machine learning models for predicting selective compounds. BCB Xia Ning, Michael A. Walters, George Karypis
2011	—	`ch.`	METIS and ParMETIS. Encyclopedia of Parallel Computing George Karypis
2011	A*	`conf`	SLIM: Sparse Linear Methods for Top-N Recommender Systems. ICDM Xia Ning, George Karypis
2010	B	`conf`	A Novel Approach to Compute Similarities and Its Application to Item Recommendation. PRICAI Christian Desrosiers, George Karypis
2010	J	`jnl`	Assessing Synthetic Accessibility of Chemical Compounds Using Machine Learning Methods. J. Chem. Inf. Model. Yevgeniy Podolyan, Michael A. Walters, George Karypis
2010	A*	`conf`	Content-Based Methods for Predicting Web-Site Demographic Attributes. ICDM Santosh Kabbur, Eui-Hong Han, George Karypis
2010	—	`ch.`	Document Clustering. Encyclopedia of Machine Learning Ying Zhao, George Karypis
2010	—	`conf`	Enhancing link-based similarity through the use of non-numerical labels and prior information. MLG@KDD Christian Desrosiers, George Karypis
2010	—	`conf`	Message from the workshop chairs. IPDPS Workshops George Karypis, Srinivas Aluru, David A. Bader
2010	C	`conf`	Multi-task Learning for Recommender System. ACML Xia Ning, George Karypis
2010	J	`jnl`	Toptmh: Topology Predictor for transmembrane alpha-helices. J. Bioinform. Comput. Biol. Rezwan Ahmed, Huzefa Rangwala, George Karypis
2010	—	`ch.`	Trends in Chemical Graph Data Mining. Managing and Mining Graph Data Nikil Wale, Xia Ning, George Karypis
2009	B	`conf`	A Kernel Framework for Protein Residue Annotation. PAKDD Huzefa Rangwala, Christopher Kauffman, George Karypis
2009	J	`jnl`	CONTOUR: an efficient algorithm for discovering discriminating subsequences. Data Min. Knowl. Discov. Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. Aggarwal
2009	J	`jnl`	Common Pharmacophore Identification Using Frequent Clique Detection Algorithm. J. Chem. Inf. Model. Yevgeniy Podolyan, George Karypis
2009	—	`ch.`	Document Clustering. Encyclopedia of Database Systems Ying Zhao, George Karypis
2009	J	`jnl`	LIBRUS: combined machine learning and homology information for sequence-based ligand-binding residue prediction. Bioinform. Christopher Kauffman, George Karypis
2009	J	`jnl`	Multi-Assay-Based Structure-Activity Relationship Models: Improving Structure-Activity Relationship Models by Incorporating Activity Information from Related Targets. J. Chem. Inf. Model. Xia Ning, Huzefa Rangwala, George Karypis
2009	—	`ch.`	Scientific Data Analysis. Scientific Data Management Chandrika Kamath, Nikil Wale, George Karypis, Gaurav Pandey, Vipin Kumar, Krishna Rajan, Nagiza F. Samatova, Paul Breimyer, Guruprasad Kora, Chongle Pan, Srikanth B. Yoginath
2009	J	`jnl`	Target Fishing for Chemical Compounds Using Target-Ligand Activity Data and Ranking Based Methods. J. Chem. Inf. Model. Nikil Wale, George Karypis
2009	A	`conf`	The Set Classification Problem and Solution Methods. SDM Xia Ning, George Karypis
2009	—	`conf`	Within-Network Classification Using Local Structure Similarity. ECML/PKDD (1) Christian Desrosiers, George Karypis
2009	—	`conf`	Within-network Classification Using Local Structure Similarity. MLG/SRL@ILP Christian Desrosiers, George Karypis
2008	Misc	`conf`	An Analysis of Information Content Present in Protein-DNA Interactions. Pacific Symposium on Biocomputing Christopher Kauffman, George Karypis
2008	C	`conf`	Architecture Aware Partitioning Algorithms. ICA3PP Irene Moulitsas, George Karypis
2008	J	`jnl`	Comparison of descriptor spaces for chemical compound retrieval and classification. Knowl. Inf. Syst. Nikil Wale, Ian A. Watson, George Karypis
2008	—	`conf`	Genome Alignments Using MPI-LAGAN. BIBM Ruinan Zhang, Huzefa Rangwala, George Karypis
2008	J	`jnl`	Indirect Similarity Based Methods for Effective Scaffold-Hopping in Chemical Compounds. J. Chem. Inf. Model. Nikil Wale, Ian A. Watson, George Karypis
2008	J	`jnl`	Introduction to special issue on bioinformatics. ACM Trans. Knowl. Discov. Data Mohammed J. Zaki, George Karypis, Jiong Yang, Wei Wang
2008	J	`jnl`	Learning preferences of new users in recommender systems: an information theoretic approach. SIGKDD Explor. Al Mamunur Rashid, George Karypis, John Riedl
2008	—	`conf`	TOPTMH: Topology Predictor for Transmembrane alpha-Helices. ECML/PKDD (1) Rezwan Ahmed, Huzefa Rangwala, George Karypis
2008	—	`conf`	The Set Classification Problem and Solution Methods. ICDM Workshops Xia Ning, George Karypis
2008	B	`conf`	fRMSDAlign: Protein Sequence Alignment Using Predicted Local Structure Information for Pairs with Low Sequence Identity. APBC Huzefa Rangwala, George Karypis
2007	A	`conf`	A Multi-Level Parallel Implementation of a Program for Finding Frequent Patterns in a Large Sparse Graph. IPDPS Steven P. Reinhardt, George Karypis
2007	J	`jnl`	Clustering methodologies for identifying country core competencies. J. Inf. Sci. Ronald N. Kostoff, J. Antonio del Río, Héctor D. Cortés, Charles Smith, Andrew Smith, Caroline S. Wagner, Loet Leydesdorff, George Karypis, Guido Malpohl, Rene Tshiteya
2007	J	`jnl`	Data Mining in Bioinformatics (BIOKDD). Algorithms Mol. Biol. Mohammed J. Zaki, George Karypis, Jiong Yang
2007	J	`jnl`	Discovering frequent geometric subgraphs. Inf. Syst. Michihiro Kuramochi, George Karypis
2007	A	`conf`	Discriminating Subsequence Discovery for Sequence Clustering. SDM Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. Aggarwal
2007	J	`jnl`	Effective Optimization Algorithms for Fragment-Assembly Based protein Structure Prediction. J. Bioinform. Comput. Biol. Kevin W. DeRonne, George Karypis
2007	J	`jnl`	Incremental window-based protein sequence alignment algorithms. Bioinform. Huzefa Rangwala, George Karypis
2007	J	`jnl`	Out-of-core coherent closed quasi-clique mining from large dense graph databases. ACM Trans. Database Syst. Zhiping Zeng, Jianyong Wang, Lizhu Zhou, George Karypis
2006	J	`jnl`	BIOKDD06: data mining in Bioinformatics. SIGKDD Explor. Mohammed J. Zaki, George Karypis, Jiong Yang
2006	J	`jnl`	Building multiclass classifiers for remote homology detection and fold recognition. BMC Bioinform. Huzefa Rangwala, George Karypis
2006	A*	`conf`	Coherent closed quasi-clique discovery from large dense graph databases. KDD Zhiping Zeng, Jianyong Wang, Lizhu Zhou, George Karypis
2006	A*	`conf`	Comparison of Descriptor Spaces for Chemical Compound Retrieval and Classification. ICDM Nikil Wale, George Karypis
2006	—	`ch.`	Criterion Functions for Clustering on High-Dimensional Data. Grouping Multidimensional Data Ying Zhao, George Karypis
2006	A	`conf`	Multilevel algorithms for partitioning power-law graphs. IPDPS Amine Abou-Rjeili, George Karypis
2006	J	`jnl`	Multiobjective hypergraph-partitioning algorithms for cut and maximum subdomain-degree minimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Navaratnasothie Selvakkumaran, George Karypis
2006	J	`jnl`	On Mining Instance-Centric Classification Rules. IEEE Trans. Knowl. Data Eng. Jianyong Wang, George Karypis
2006	J	`jnl`	On efficiently summarizing categorical databases. Knowl. Inf. Syst. Jianyong Wang, George Karypis
2006	—	`ch.`	Partitioning and Load Balancing for Emerging Parallel Applications and Architectures. Parallel Processing for Scientific Computing Karen D. Devine, Erik G. Boman, George Karypis
2006	—	`conf`	Towards a Scalable WebKDD Al Mamunur Rashid, Shyong K. Lam, Adam LaPitz, George Karypis, John Riedl
2005	C	`conf`	Effective Document Clustering for Large Heterogeneous Law Firm Collections. ICAIL Jack G. Conrad, Khalid Al-Kofahi, Ying Zhao, George Karypis
2005	Misc	`conf`	Feature Mining for Prediction of Degree of Liver Fibrosis. AMIA Benjamin W. Mayer, Huzefa Rangwala, Rohit Gupta, Jaideep Srivastava, George Karypis, Vipin Kumar, Piet C. de Groen
2005	A	`conf`	Feature-based recommendation system. CIKM Eui-Hong Han, George Karypis
2005	J	`jnl`	Finding Frequent Patterns Using Length-Decreasing Support Constraints. Data Min. Knowl. Discov. Masakazu Seno, George Karypis
2005	J	`jnl`	Finding Frequent Patterns in a Large Sparse Graph Data Min. Knowl. Discov. Michihiro Kuramochi, George Karypis
2005	J	`jnl`	Frequent Substructure-Based Approaches for Classifying Chemical Compounds. IEEE Trans. Knowl. Data Eng. Mukund Deshpande, Michihiro Kuramochi, Nikil Wale, George Karypis
2005	J	`jnl`	Gene Classification Using Expression Profiles: A Feasibility Study. Int. J. Artif. Intell. Tools Michihiro Kuramochi, George Karypis
2005	A	`conf`	HARMONY: Efficiently Mining the Best Rules for Classification. SDM Jianyong Wang, George Karypis
2005	J	`jnl`	Hierarchical Clustering Algorithms for Document Datasets. Data Min. Knowl. Discov. Ying Zhao, George Karypis, Usama M. Fayyad
2005	A	`conf`	Influence in Ratings-Based Recommender Systems: An Algorithm-Independent Approach. SDM Al Mamunur Rashid, George Karypis, John Riedl
2005	—	`ch.`	Mining Chemical Compounds. Data Mining in Bioinformatics Mukund Deshpande, Michihiro Kuramochi, George Karypis
2005	J	`jnl`	Prediction of Contact Maps Using Support Vector Machines. Int. J. Artif. Intell. Tools Ying Zhao, George Karypis
2005	J	`jnl`	Profile-based direct kernels for remote homology detection and fold recognition. Bioinform. Huzefa Rangwala, George Karypis
2005	A	`conf`	Topic-driven Clustering for Document Datasets. SDM Ying Zhao, George Karypis
2004	J	`jnl`	An Efficient Algorithm for Discovering Frequent Subgraphs. IEEE Trans. Knowl. Data Eng. Michihiro Kuramochi, George Karypis
2004	A	`conf`	BAMBOO: Accelerating Closed Itemset Mining by Deeply Pushing the Length-Decreasing Support Constraint. SDM Jianyong Wang, George Karypis
2004	A*	`conf`	Efficient closed pattern mining in the presence of tough block constraints. KDD Krishna Gade, Jianyong Wang, George Karypis
2004	J	`jnl`	Empirical and Theoretical Comparisons of Selected Criterion Functions for Document Clustering. Mach. Learn. Ying Zhao, George Karypis
2004	A	`conf`	Finding Frequent Patterns in a Large Sparse Graph. SDM Michihiro Kuramochi, George Karypis
2004	A*	`conf`	GREW-A Scalable Frequent Subgraph Discovery Algorithm. ICDM Michihiro Kuramochi, George Karypis
2004	J	`jnl`	Item-based top- ACM Trans. Inf. Syst. Mukund Deshpande, George Karypis
2004	A*	`conf`	Multi-resource aware partitioning algorithms for FPGAs with heterogeneous resources. DAC Navaratnasothie Selvakkumaran, Abhishek Ranjan, Salil Raje, George Karypis
2004	A	`conf`	Multi-resource aware partitioning algorithms for FPGAs with heterogeneous resources. FPGA Navaratnasothie Selvakkumaran, Abhishek Ranjan, Salil Raje, George Karypis
2004	J	`jnl`	Parallel tree-projection-based sequence mining algorithms. Parallel Comput. Valerie Guralnik, George Karypis
2004	A*	`conf`	SUMMARY: Efficiently Summarizing Transactions for Clustering. ICDM Jianyong Wang, George Karypis
2004	J	`jnl`	Selective Markov models for predicting Web page accesses. ACM Trans. Internet Techn. Mukund Deshpande, George Karypis
2004	A	`conf`	Soft clustering criterion functions for partitional document clustering: a summary of results. CIKM Ying Zhao, George Karypis
2003	A*	`conf`	Frequent Sub-Structure-Based Approaches for Classifying Chemical Compounds. ICDM Mukund Deshpande, Michihiro Kuramochi, George Karypis
2003	A	`conf`	Intelligent metasearch engine for knowledge management. CIKM Eui-Hong Han, George Karypis, Doug Mewhort, Keith Hatchard
2003	A	`conf`	Multi-Constraint Mesh Partitioning for Contact/Impact Computations. SC George Karypis
2003	A	`conf`	Multi.Objective Hypergraph Partitioning Algorithms for Cut and Maximum Subdomain Degree Minimization. ICCAD Navaratnasothie Selvakkumaran, George Karypis
2003	—	`conf`	Perimeter-degree: a priori metric for directly measuring and homogenizing interconnection complexity in multilevel placement. SLIP Navaratnasothie Selvakkumaran, Phiroze N. Parakh, George Karypis
2003	J	`jnl`	Predicting the Performance of Randomized Parallel Search: An Application to Robot Motion Planning. J. Intell. Robotic Syst. Daniel J. Challou, Maria L. Gini, Vipin Kumar, George Karypis
2003	C	`conf`	Prediction of Contact Maps Using Support Vector Machines. BIBE Ying Zhao, George Karypis
2002	—	`conf`	A polynomial time approximation scheme for rectilinear Steiner minimum tree construction in the presence of obstacles. ICECS Jian Liu, Ying Zhao, Eugene Shragowitz, George Karypis
2002	—	`conf`	Automated Approaches for Classifying Structures. BIOKDD Mukund Deshpande, Michihiro Kuramochi, George Karypis
2002	A*	`conf`	Discovering Frequent Geometric Subgraphs. ICDM Michihiro Kuramochi, George Karypis
2002	B	`conf`	Evaluation of Techniques for Classifying Biological Sequences. PAKDD Mukund Deshpande, George Karypis
2002	A	`conf`	Evaluation of hierarchical clustering algorithms for document datasets. CIKM Ying Zhao, George Karypis
2002	A*	`conf`	Expert agreement and content based reranking in a meta search environment using Mearf. WWW B. Uygar Oztekin, George Karypis, Vipin Kumar
2002	—	`conf`	Improve Precategorized Collection Retrieval by Using Supervised Term Weighting Schemes. ITCC Ying Zhao, George Karypis
2002	A	`conf`	Multi-objective circuit partitioning for cutsize and path-based delay minimization. ICCAD Cristinel Ababei, Navaratnasothie Selvakkumaran, Kia Bazargan, George Karypis
2002	J	`jnl`	Parallel static and dynamic multi-constraint graph partitioning. Concurr. Comput. Pract. Exp. Kirk Schloegel, George Karypis, Vipin Kumar
2002	A*	`conf`	SLPMiner: An Algorithm for Finding Frequent Sequential Patterns Using Length-Decreasing Support Constraint. ICDM Masakazu Seno, George Karypis
2002	A	`conf`	Using conjunction of attribute values for classification. CIKM Mukund Deshpande, George Karypis
2001	A*	`conf`	A Scalable Algorithm for Clustering Sequential Data. ICDM Valerie Guralnik, George Karypis
2001	—	`conf`	A scalable algorithm for clustering protein sequences. BIOKDD Valerie Guralnik, George Karypis
2001	A	`conf`	Evaluation of Item-Based Top-N Recommendation Algorithms. CIKM George Karypis
2001	A*	`conf`	Frequent Subgraph Discovery. ICDM Michihiro Kuramochi, George Karypis
2001	C	`conf`	Gene Classification using Expression Profiles: A Feasibility Study. BIBE Michihiro Kuramochi, George Karypis
2001	C	`conf`	Graph Partitioning for Dynamic, Adaptive and Multi-phase Scientific Simulations. CLUSTER Kirk Schloegel, George Karypis, Vipin Kumar
2001	A*	`conf`	Item-based collaborative filtering recommendation algorithms. WWW Badrul Munir Sarwar, George Karypis, Joseph A. Konstan, John Riedl
2001	A*	`conf`	LPMiner: An Algorithm for Finding Frequent Itemsets Using Length-Decreasing Support Constraint. ICDM Masakazu Seno, George Karypis
2001	A	`conf`	Multilevel algorithms for generating coarse grids for multigrid methods. SC Irene Moulitsas, George Karypis
2001	—	`conf`	Parallel Tree Projection Algorithm for Sequence Mining. Euro-Par Valerie Guralnik, Nivea Garg, George Karypis
2001	J	`jnl`	Privacy Risks in Recommender Systems. IEEE Internet Comput. Naren Ramakrishnan, Benjamin J. Keller, Batul J. Mirza, Ananth Grama, George Karypis
2001	A	`conf`	Selective Markov Models for Predicting Web-Page Accesses. SDM Mukund Deshpande, George Karypis
2001	B	`conf`	Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification. PAKDD Eui-Hong Han, George Karypis, Vipin Kumar
2001	J	`jnl`	Wavefront Diffusion and LMSR: Algorithms for Dynamic Repartitioning of Adaptive Meshes. IEEE Trans. Parallel Distributed Syst. Kirk Schloegel, George Karypis, Vipin Kumar
2001	J	`jnl`	When being Weak is Brave: Privacy in Recommender Systems CoRR Naren Ramakrishnan, Benjamin J. Keller, Batul J. Mirza, Ananth Grama, George Karypis
2000	A	`conf`	A Unified Algorithm for Load-balancing Adaptive Scientific Simulations. SC Kirk Schloegel, George Karypis, Vipin Kumar
2000	A*	`conf`	Analysis of recommendation algorithms for e-commerce. EC Badrul Munir Sarwar, George Karypis, Joseph A. Konstan, John Riedl
2000	—	`conf`	Centroid-Based Document Classification: Analysis and Experimental Results. PKDD Eui-Hong Han, George Karypis
2000	A	`conf`	Fast Supervised Dimensionality Reduction Algorithm with Applications to Document Categorization & Retrieval. CIKM Eui-Hong Han, George Karypis
2000	—	`conf`	Graph Partitioning for Dynamic, Adaptive, and Multi-phase Computations. IPDPS Workshops Vipin Kumar, Kirk Schloegel, George Karypis
2000	J	`jnl`	Graph partitioning and parallel computing. Parallel Comput. Rupak Biswas, Bruce Hendrickson, George Karypis
2000	—	`conf`	Load Balancing Across Near-Homogeneous Multi-Resource Servers. Heterogeneous Computing Workshop William Leinberger, George Karypis, Vipin Kumar
2000	—	`conf`	Memory Management Techniques for Gang Scheduling. Euro-Par William Leinberger, George Karypis, Vipin Kumar
2000	J	`jnl`	Multilevel VLSI Design George Karypis, Vipin Kumar
2000	—	`conf`	Parallel Multilevel Algorithms for Multi-constraint Graph Partitioning (Distinguished Paper). Euro-Par Kirk Schloegel, George Karypis, Vipin Kumar
2000	J	`jnl`	Scalable Parallel Data Mining for Association Rules. IEEE Trans. Knowl. Data Eng. Eui-Hong Han, George Karypis, Vipin Kumar
1999	—	`conf`	A New Algorithm for Multi-objective Graph Partitioning. Euro-Par Kirk Schloegel, George Karypis, Vipin Kumar
1999	J	`jnl`	Chameleon: Hierarchical Clustering Using Dynamic Modeling. Computer George Karypis, Eui-Hong Han, Vipin Kumar
1999	J	`jnl`	Document Categorization and Query Generation on the World Wide Web Using WebACE. Artif. Intell. Rev. Daniel Boley, Maria L. Gini, Robert Gross, Eui-Hong Han, Kyle Hastings, George Karypis, Vipin Kumar, Bamshad Mobasher, Jerome Moore
1999	—	`conf`	Dynamic Repartitioning of Adaptively Refined Meshes. PP Kirk Schloegel, George Karypis, Vipin Kumar
1999	—	`conf`	Efficient Parallel Algorithms for Mining Associations. Large-Scale Parallel Data Mining Mahesh V. Joshi, Eui-Hong Han, George Karypis, Vipin Kumar
1999	A	`conf`	Job Scheduling in the presence of Multiple Resource Requirements. SC William Leinberger, George Karypis, Vipin Kumar
1999	B	`conf`	Multi-Capacity Bin Packing Algorithms with Applications to Job Scheduling under Multiple Constraints. ICPP William Leinberger, George Karypis, Vipin Kumar
1999	A*	`conf`	Multilevel DAC George Karypis, Vipin Kumar
1999	J	`jnl`	Multilevel hypergraph partitioning: applications in VLSI domain. IEEE Trans. Very Large Scale Integr. Syst. George Karypis, Rajat Aggarwal, Vipin Kumar, Shashi Shekhar
1999	—	`conf`	PSPASES: An Efficient and Scalable Parallel Sparse Direct Solver. PP Mahesh V. Joshi, George Karypis, Vipin Kumar, Anshul Gupta, Fred G. Gustavson
1999	J	`jnl`	Parallel Multilevel series k-Way Partitioning Scheme for Irregular Graphs. SIAM Rev. George Karypis, Vipin Kumar
1999	J	`jnl`	Partitioning-based clustering for Web document categorization. Decis. Support Syst. Daniel Boley, Maria L. Gini, Robert Gross, Eui-Hong Han, Kyle Hastings, George Karypis, Vipin Kumar, Bamshad Mobasher, Jerome Moore
1998	J	`jnl`	A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs. SIAM J. Sci. Comput. George Karypis, Vipin Kumar
1998	J	`jnl`	A Parallel Algorithm for Multilevel Graph Partitioning and Sparse Matrix Ordering. J. Parallel Distributed Comput. George Karypis, Vipin Kumar
1998	A	`conf`	Dynamic Repartitioning of Adaptively Refined Meshes. SC Kirk Schloegel, George Karypis, Vipin Kumar
1998	J	`jnl`	Hypergraph Based Clustering in High-Dimensional Data Sets: A Summary of Results. IEEE Data Eng. Bull. Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad Mobasher
1998	B	`conf`	Load Balancing of Dynamic and Adaptive Mesh-Based Computations. SRDS Kirk Schloegel, George Karypis, Vipin Kumar
1998	A	`conf`	Multilevel Algorithms for Multi-Constraint Graph Partitioning. SC George Karypis, Vipin Kumar
1998	J	`jnl`	Multilevel k-way Partitioning Scheme for Irregular Graphs. J. Parallel Distributed Comput. George Karypis, Vipin Kumar
1998	—	`conf`	ScalParC: A New Scalable and Efficient Parallel Classification Algorithm for Mining Large Datasets. IPPS/SPDP Mahesh V. Joshi, George Karypis, Vipin Kumar
1998	—	`conf`	WebACE: A Web Agent for Document Categorization and Exploration. Agents Eui-Hong Han, Daniel Boley, Maria L. Gini, Robert Gross, Kyle Hastings, George Karypis, Vipin Kumar, Bamshad Mobasher, Jerome Moore
1997	—	`conf`	A Coarse-Grain Parallel Formulation of Multilevel k-way Graph Partitioning Algorithm. PP George Karypis, Vipin Kumar
1997	Misc	`conf`	A high performance two dimensional scalable parallel algorithm for solving sparse triangular systems. HiPC Mahesh V. Joshi, Anshul Gupta, George Karypis, Vipin Kumar
1997	—	`conf`	Clustering Based On Association Rule Hypergraphs. DMKD Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad Mobasher
1997	—	`conf`	Design and Implementation of a Scalable Parallel Direct Solver for Sparse Symmetric Positive Definite Systems: Preliminary Results. PP Anshul Gupta, Fred G. Gustavson, Mahesh V. Joshi, George Karypis, Vipin Kumar
1997	J	`jnl`	Highly Scalable Parallel Algorithms for Sparse Matrix Factorization. IEEE Trans. Parallel Distributed Syst. Anshul Gupta, George Karypis, Vipin Kumar
1997	J	`jnl`	Multilevel Diffusion Schemes for Repartitioning of Adaptive Meshes. J. Parallel Distributed Comput. Kirk Schloegel, George Karypis, Vipin Kumar
1997	A*	`conf`	Multilevel Hypergraph Partitioning: Application in VLSI Domain. DAC George Karypis, Rajat Aggarwal, Vipin Kumar, Shashi Shekhar
1997	A	`conf`	Parallel Threshold-based ILU Factorization. SC George Karypis, Vipin Kumar
1997	—	`conf`	Repartitioning of Adaptive Meshes: Experiments with Multilevel Diffusion. Euro-Par Kirk Schloegel, George Karypis, Vipin Kumar
1997	—	`conf`	Role of Message-Passing in Performance Oriented Parallel Programming. PP Vipin Kumar, George Karypis, Ananth Grama
1997	—	`conf`	Scalable Parallel Data Mining for Association Rules. SIGMOD Conference Eui-Hong Han, George Karypis, Vipin Kumar
1996	—	`conf`	Parallel Multilevel Graph Partitioning. IPPS George Karypis, Vipin Kumar
1996	A	`conf`	Parallel Multilevel k-way Partitioning Scheme for Irregular Graphs. SC George Karypis, Vipin Kumar
1995	—	`conf`	A Highly Parallel Interior Point Algorithm. PP George Karypis, Anshul Gupta, Vipin Kumar
1995	A	`conf`	Analysis of Multilevel Graph Partitioning. SC George Karypis, Vipin Kumar
1995	—	`conf`	Multilevel Graph Partitioning Schemes. ICPP (3) George Karypis, Vipin Kumar
1994	A	`conf`	A parallel formulation of interior point algorithms. SC George Karypis, Anshul Gupta, Vipin Kumar
1994	—	`conf`	Experiences with a Parallel Formulation of an Interior Point Algorithm. Parallel Processing of Discrete Optimization Problems George Karypis, Anshul Gupta, Vipin Kumar
1994	—	`book`	Introduction to Parallel Computing. Vipin Kumar, Ananth Grama, Anshul Gupta, George Karypis
1994	J	`jnl`	Unstructured Tree Search on SIMD Parallel Computers. IEEE Trans. Parallel Distributed Syst. George Karypis, Vipin Kumar
1993	—	`conf`	Efficient Parallel Mappings of a Dynamic Programming Algorithm: A Summary of Results. IPPS George Karypis, Vipin Kumar
1992	A	`conf`	Unstructured Tree Search on SIMD Parallel Computers: A Summary of Results. SC George Karypis, Vipin Kumar