Tyler Derr - RankMe

130 papers A* 26A 16B 6C 2Misc 1Journal 62Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	A Survey on LLM-based Conversational User Simulation. EACL (Volume 1: Long Papers) Bo Ni, Yu Wang, Leyao Wang, Branislav Kveton, Franck Dernoncourt, Yu Xia, Hongjie Chen, Reuben Luera, Samyadeep Basu, Subhojyoti Mukherjee, Puneet Mathur, Nesreen K. Ahmed, Junda Wu, Li Li, Huixin Zhang, Ruiyi Zhang, Tong Yu, Sungchul Kim, Jiuxiang Gu, Zhengzhong Tu, Alexa F. Siu, Zichao Wang, Seunghyun Yoon, Nedim Lipka, Namyong Park, Zihao Lin, Trung Bui, Yue Zhao, Tyler Derr, Ryan A. Rossi
2026	—	`conf`	Ensemble Privacy Defense for Knowledge-Intensive LLMs against Membership Inference Attacks. EACL (Findings) Haowei Fu, Bo Ni, Han Xu, Kunpeng Liu, Dan Lin, Tyler Derr
2026	A*	`conf`	Graph2Video: Leveraging Video Models to Model Dynamic Graph Evolution. AAAI Hua Liu, Yanbin Wei, Fei Xing, Tyler Derr, Haoyu Han, Yu Zhang
2026	J	`jnl`	Graph2Video: Leveraging Video Models to Model Dynamic Graph Evolution. CoRR Hua Liu, Yanbin Wei, Fei Xing, Tyler Derr, Haoyu Han, Yu Zhang
2026	J	`jnl`	Reasoning-Based Personalized Generation for Users with Sparse Data. CoRR Bo Ni, Branislav Kveton, Samyadeep Basu, Subhojyoti Mukherjee, Leyao Wang, Franck Dernoncourt, Sungchul Kim, Seunghyun Yoon, Zichao Wang, Ruiyi Zhang, Puneet Mathur, Jihyung Kil, Jiuxiang Gu, Nedim Lipka, Yu Wang, Ryan A. Rossi, Tyler Derr
2026	—	`conf`	SaVe-TAG: LLM-based Interpolation for Long-Tailed Text-Attributed Graphs. KDD (1) Leyao Wang, Yu Wang, Bo Ni, Yuying Zhao, Hanyu Wang, Yao Ma, Tyler Derr
2025	A*	`conf`	A Large-scale Training Paradigm for Graph Generative Models. ICLR Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr
2025	J	`jnl`	Advancements in Ligand-Based Virtual Screening through the Synergistic Integration of Graph Neural Networks and Expert-Crafted Descriptors. J. Chem. Inf. Model. Yunchao Liu, Rocco Moretti, Yu Wang, Ha Dong, Bailu Yan, Bobby Bodenheimer, Tyler Derr, Jens Meiler
2025	J	`jnl`	Amplifying Your Social Media Presence: Personalized Influential Content Generation with LLMs. CoRR Yuying Zhao, Yu Wang, Xueqi Cheng, Anne M. Tumlin, Yunchao Liu, Damin Xia, Meng Jiang, Tyler Derr
2025	—	`conf`	BTS: A Comprehensive Benchmark for Tie Strength Prediction. KDD (2) Xueqi Cheng, Catherine Yang, Yuying Zhao, Yu Wang, Hamid Karimi, Tyler Derr
2025	J	`jnl`	Defining and Benchmarking a Data-Centric Design Space for Brain Graph Construction. CoRR Qinwen Ge, Roza G. Bayrak, Anwar Said, Catie Chang, Xenofon D. Koutsoukos, Tyler Derr
2025	—	`conf`	Demystifying the Power of Large Language Models in Graph Generation. NAACL (Findings) Yu Wang, Ryan A. Rossi, Namyong Park, Nesreen K. Ahmed, Danai Koutra, Franck Dernoncourt, Tyler Derr
2025	A	`conf`	Edge Classification on Graphs: New Directions in Topological Imbalance. WSDM Xueqi Cheng, Yu Wang, Yunchao Liu, Yuying Zhao, Charu C. Aggarwal, Tyler Derr
2025	J	`jnl`	Edges Matter: An Analysis of Graph Time-Series Representations for Temporal Networks. IEEE Trans. Netw. Sci. Eng. Hongjie Chen, Ryan A. Rossi, Nesreen K. Ahmed, Namyong Park, Yu Wang, Tyler Derr, Hoda Eldardiry
2025	J	`jnl`	Ensemble Privacy Defense for Knowledge-Intensive LLMs against Membership Inference Attacks. CoRR Haowei Fu, Bo Ni, Han Xu, Kunpeng Liu, Dan Lin, Tyler Derr
2025	J	`jnl`	Fairness and Diversity in Recommender Systems: A Survey. ACM Trans. Intell. Syst. Technol. Yuying Zhao, Yu Wang, Yunchao Liu, Xueqi Cheng, Charu C. Aggarwal, Tyler Derr
2025	J	`jnl`	Inverse-LLaVA: Eliminating Alignment Pre-training Through Text-to-Vision Mapping. CoRR Xuhui Zhan, Tyler Derr
2025	—	`conf`	Machine Learning on Graphs in the Era of Generative Artificial Intelligence. KDD (2) Yu Wang, Yu Zhang, Zhichun Guo, Harry Shomer, Haoyu Han, Tyler Derr, Nesreen K. Ahmed, Mahantesh Halappanavar, Jiliang Tang
2025	J	`jnl`	Mitigating Distribution Shift in Graph-Based Android Malware Classification via Function Metadata and LLM Embeddings. CoRR Ngoc N. Tran, Anwar Said, Waseem Abbas, Tyler Derr, Xenofon D. Koutsoukos
2025	J	`jnl`	Personalization of Large Language Models: A Survey. Trans. Mach. Learn. Res. Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen K. Ahmed, Yu Wang
2025	—	`conf`	Real-Time Freeway Traffic Anomalous Event Detection System via Radar Detector Sensors. ICCPS Austin Coursey, Junyi Ji, Zhiyao Zhang, William Barbour, Marcos Quiñones-Grueiro, Tyler Derr, Gautam Biswas, Daniel B. Work
2025	J	`jnl`	Scaffold-Aware Generative Augmentation and Reranking for Enhanced Virtual Screening. CoRR Xin Wang, Yu Wang, Yunchao Liu, Jens Meiler, Tyler Derr
2025	—	`conf`	Signed Network Dataset Repository: Extracting Signed Relations From Social Networks. ICC Aikta Arya, Pradumn Kumar Pandey, Tyler Derr
2025	J	`jnl`	SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation. CoRR Yuying Zhao, Xiaodong Yang, Huiyuan Chen, Xiran Fan, Yu Wang, Yiwei Cai, Tyler Derr
2025	J	`jnl`	Towards Bridging Review Sparsity in Recommendation with Textual Edge Graph Representation. CoRR Leyao Wang, Xutao Mao, Xuhui Zhan, Yuying Zhao, Bo Ni, Ryan A. Rossi, Nesreen K. Ahmed, Tyler Derr
2025	A*	`conf`	Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective. AAAI Bo Ni, Yu Wang, Lu Cheng, Erik Blasch, Tyler Derr
2025	J	`jnl`	Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey. CoRR Bo Ni, Zheyuan Liu, Leyao Wang, Yongjia Lei, Yuying Zhao, Xueqi Cheng, Qingkai Zeng, Luna Dong, Yinglong Xia, Krishnaram Kenthapadi, Ryan A. Rossi, Franck Dernoncourt, Md. Mehrab Tanjim, Nesreen K. Ahmed, Xiaorui Liu, Wenqi Fan, Erik Blasch, Yu Wang, Meng Jiang, Tyler Derr
2024	J	`jnl`	A Comprehensive Analysis of Social Tie Strength: Definitions, Prediction Methods, and Future Directions. CoRR Xueqi Cheng, Catherine Yang, Yuying Zhao, Yu Wang, Hamid Karimi, Tyler Derr
2024	J	`jnl`	A Survey of Mamba. CoRR Haohao Qu, Liangbo Ning, Rui An, Wenqi Fan, Tyler Derr, Hui Liu, Xin Xu, Qing Li
2024	J	`jnl`	A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications. IEEE Trans. Knowl. Data Eng. Yi Zhang, Yuying Zhao, Zhaoqing Li, Xueqi Cheng, Yu Wang, Olivera Kotevska, Philip S. Yu, Tyler Derr
2024	A*	`conf`	A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. ICLR Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr
2024	J	`jnl`	Augmenting Textual Generation via Topology Aware Retrieval. CoRR Yu Wang, Nedim Lipka, Ruiyi Zhang, Alexa F. Siu, Yuying Zhao, Bo Ni, Xin Wang, Ryan A. Rossi, Tyler Derr
2024	A*	`conf`	Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. WWW Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr
2024	J	`jnl`	Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. CoRR Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr
2024	A	`conf`	Data Quality-aware Graph Machine Learning. CIKM Yu Wang, Kaize Ding, Xiaorui Liu, Jian Kang, Ryan A. Rossi, Tyler Derr
2024	—	`conf`	EDGE-UP: Enhanced Dynamic GNN Ensemble for Unfollow Prediction in Online Social Networks. ASONAM (1) Soheila Farokhi, Arash Azizian Foumani, Xiaojun Qi, Tyler Derr, Hamid Karimi
2024	J	`jnl`	Edge Classification on Graphs: New Directions in Topological Imbalance. CoRR Xueqi Cheng, Yu Wang, Yunchao Liu, Yuying Zhao, Charu C. Aggarwal, Tyler Derr
2024	A*	`conf`	FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection. NeurIPS Austin Coursey, Junyi Ji, Marcos Quiñones-Grueiro, William Barbour, Yuhang Zhang, Tyler Derr, Gautam Biswas, Daniel B. Work
2024	J	`jnl`	FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection. CoRR Austin Coursey, Junyi Ji, Marcos Quiñones-Grueiro, William Barbour, Yuhang Zhang, Tyler Derr, Gautam Biswas, Daniel B. Work
2024	—	`conf`	FairNNV: The Neural Network Verification Tool For Certifying Fairness. ICAIF Anne M. Tumlin, Diego Manzanas Lopez, Preston Robinette, Yuying Zhao, Tyler Derr, Taylor T. Johnson
2024	A*	`conf`	Knowledge Graph Prompting for Multi-Document Question Answering. AAAI Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa F. Siu, Ruiyi Zhang, Tyler Derr
2024	J	`jnl`	Knowledge Graph-based Session Recommendation with Adaptive Propagation. CoRR Yu Wang, Amin Javari, Janani Balaji, Walid Shalaby, Tyler Derr, Xiquan Cui
2024	—	`conf`	Knowledge Graph-based Session Recommendation with Session-Adaptive Propagation. WWW (Companion Volume) Yu Wang, Amin Javari, Janani Balaji, Walid Shalaby, Tyler Derr, Xiquan Cui
2024	J	`jnl`	Large Generative Graph Models. CoRR Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr
2024	J	`jnl`	Large Language Model-based Augmentation for Imbalanced Node Classification on Text-Attributed Graphs. CoRR Leyao Wang, Yu Wang, Bo Ni, Yuying Zhao, Tyler Derr
2024	A*	`conf`	Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation. AAAI Yuying Zhao, Yu Wang, Yi Zhang, Pamela J. Wisniewski, Charu C. Aggarwal, Tyler Derr
2024	J	`jnl`	Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation. CoRR Yuying Zhao, Yu Wang, Yi Zhang, Pamela J. Wisniewski, Charu C. Aggarwal, Tyler Derr
2024	J	`jnl`	Personalization of Large Language Models: A Survey. CoRR Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen K. Ahmed, Yu Wang
2024	A*	`conf`	Robust Graph Neural Networks via Unbiased Aggregation. NeurIPS Zhichao Hou, Ruiqi Feng, Tyler Derr, Xiaorui Liu
2024	A	`conf`	The 5th International Workshop on Machine Learning on Graphs (MLoG). WSDM Tyler Derr, Yao Ma, Kaize Ding, Tong Zhao, Nesreen K. Ahmed
2024	A	`conf`	Topology-aware Retrieval Augmentation for Text Generation. CIKM Yu Wang, Nedim Lipka, Ruiyi Zhang, Alexa F. Siu, Yuying Zhao, Bo Ni, Xin Wang, Ryan A. Rossi, Tyler Derr
2024	J	`jnl`	Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective. CoRR Bo Ni, Yu Wang, Lu Cheng, Erik Blasch, Tyler Derr
2024	A*	`conf`	WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking. NeurIPS Yunchao Liu, Ha Dong, Xin Wang, Rocco Moretti, Yu Wang, Zhaoqian Su, Jiawei Gu, Bobby Bodenheimer, Charles David Weaver, Jens Meiler, Tyler Derr
2024	J	`jnl`	WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking. CoRR Yunchao Liu, Ha Dong, Xin Wang, Rocco Moretti, Yu Wang, Zhaoqian Su, Jiawei Gu, Bobby Bodenheimer, Charles David Weaver, Jens Meiler, Tyler Derr
2023	J	`jnl`	A Survey of Graph Unlearning. CoRR Anwar Said, Tyler Derr, Mudassir Shabbir, Waseem Abbas, Xenofon D. Koutsoukos
2023	J	`jnl`	A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications. CoRR Yi Zhang, Yuying Zhao, Zhaoqing Li, Xueqi Cheng, Yu Wang, Olivera Kotevska, Philip S. Yu, Tyler Derr
2023	J	`jnl`	A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. CoRR Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr
2023	J	`jnl`	Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles. IEEE Trans. Knowl. Data Eng. Wenqi Fan, Xiangyu Zhao, Qing Li, Tyler Derr, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang
2023	B	`conf`	An Analysis of the Dynamics of Ties on Twitter. IEEE Big Data Kiana Kheiri, Muhammad Fawad Akbar Khan, Tyler Derr, Hamid Karimi
2023	A*	`conf`	Collaboration-Aware Graph Convolutional Network for Recommender Systems. WWW Yu Wang, Yuying Zhao, Yi Zhang, Tyler Derr
2023	C	`conf`	Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation. ICMLA Anwar Said, Mudassir Shabbir, Tyler Derr, Waseem Abbas, Xenofon D. Koutsoukos
2023	J	`jnl`	Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation. CoRR Anwar Said, Mudassir Shabbir, Tyler Derr, Waseem Abbas, Xenofon D. Koutsoukos
2023	J	`jnl`	Fairness and Diversity in Recommender Systems: A Survey. CoRR Yuying Zhao, Yu Wang, Yunchao Liu, Xueqi Cheng, Charu C. Aggarwal, Tyler Derr
2023	A*	`conf`	Fairness and Explainability: Bridging the Gap towards Fair Model Explanations. AAAI Yuying Zhao, Yu Wang, Tyler Derr
2023	A*	`conf`	Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery. AAAI Yunchao Liu, Yu Wang, Oanh Vu, Rocco Moretti, Bobby Bodenheimer, Jens Meiler, Tyler Derr
2023	J	`jnl`	Knowledge Graph Prompting for Multi-Document Question Answering. CoRR Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa F. Siu, Ruiyi Zhang, Tyler Derr
2023	A*	`conf`	NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics. NeurIPS Anwar Said, Roza G. Bayrak, Tyler Derr, Mudassir Shabbir, Daniel Moyer, Catie Chang, Xenofon D. Koutsoukos
2023	J	`jnl`	NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics. CoRR Anwar Said, Roza G. Bayrak, Tyler Derr, Mudassir Shabbir, Daniel Moyer, Catie Chang, Xenofon D. Koutsoukos
2023	J	`jnl`	Robust Graph Neural Networks via Unbiased Aggregation. CoRR Ruiqi Feng, Zhichao Hou, Tyler Derr, Xiaorui Liu
2023	A	`conf`	The 3rd International Workshop on Machine Learning on Graphs (MLoG). WSDM Tyler Derr, Yao Ma, Benedek Rozemberczki, Neil Shah, Shirui Pan
2022	A*	`conf`	ChemicalX: A Deep Learning Library for Drug Pair Scoring. KDD Benedek Rozemberczki, Charles Tapley Hoyt, Anna Gogleva, Piotr Grabowski, Klas Karis, Andrej Lamov, Andriy Nikolov, Sebastian Nilsson, Michaël Ughetto, Yu Wang, Tyler Derr, Benjamin M. Gyori
2022	J	`jnl`	ChemicalX: A Deep Learning Library for Drug Pair Scoring. CoRR Benedek Rozemberczki, Charles Tapley Hoyt, Anna Gogleva, Piotr Grabowski, Klas Karis, Andrej Lamov, Andriy Nikolov, Sebastian Nilsson, Michaël Ughetto, Yu Wang, Tyler Derr, Benjamin M. Gyori
2022	J	`jnl`	Collaboration-Aware Graph Convolutional Networks for Recommendation Systems. CoRR Yu Wang, Yuying Zhao, Yi Zhang, Tyler Derr
2022	C	`conf`	Decision Boundaries of Deep Neural Networks. ICMLA Hamid Karimi, Tyler Derr
2022	—	`conf`	Degree-Related Bias in Link Prediction. ICDM (Workshops) Yu Wang, Tyler Derr
2022	B	`conf`	Enhancing Individual Fairness through Propensity Score Matching. DSAA Hamid Karimi, Muhammad Fawad Akbar Khan, Haochen Liu, Tyler Derr, Hui Liu
2022	J	`jnl`	Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations. CoRR Yuying Zhao, Yu Wang, Tyler Derr
2022	A	`conf`	Imbalanced Graph Classification via Graph-of-Graph Neural Networks. CIKM Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr
2022	A*	`conf`	Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage. KDD Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr
2022	J	`jnl`	Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage. CoRR Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr
2022	Misc	`conf`	Inferring EHR Utilization Workflows through Audit Logs. AMIA Xinmeng Zhang, Yuying Zhao, Chao Yan, Tyler Derr, You Chen
2022	A*	`conf`	On Structural Explanation of Bias in Graph Neural Networks. KDD Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li
2022	J	`jnl`	On Structural Explanation of Bias in Graph Neural Networks. CoRR Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li
2022	A	`conf`	PAS: Privacy Algorithms in Systems. CIKM Philip S. Yu, Olivera Kotevska, Tyler Derr
2022	A*	`conf`	THINK: Temporal Hypergraph Hyperbolic Network. ICDM Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Jiawei Han, Tyler Derr
2021	A*	`conf`	Attacking Black-box Recommendations via Copying Cross-domain User Profiles. ICDE Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li
2021	A	`conf`	Deep Adversarial Network Alignment. CIKM Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang
2021	J	`jnl`	Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification. CoRR Yu Wang, Charu Aggarwal, Tyler Derr
2021	A*	`conf`	Graph Adversarial Attack via Rewiring. KDD Yao Ma, Suhang Wang, Tyler Derr, Lingfei Wu, Jiliang Tang
2021	A	`conf`	Graph Feature Gating Networks. CIKM Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang
2021	J	`jnl`	Graph Feature Gating Networks. CoRR Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang
2021	J	`jnl`	Imbalanced Graph Classification via Graph-of-Graph Neural Networks. CoRR Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr
2021	—	`conf`	Interpretable Visual Understanding with Cognitive Attention Network. ICANN (1) Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi
2021	J	`jnl`	Interpretable Visual Understanding with Cognitive Attention Network. CoRR Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi
2021	A	`conf`	Node Similarity Preserving Graph Convolutional Networks. WSDM Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang
2021	—	`conf`	Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries. HT Aaron Brookhouse, Tyler Derr, Hamid Karimi, H. Russell Bernard, Jiliang Tang
2021	A*	`conf`	Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach. AAAI Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Tyler Derr, Rajiv Ratn Shah
2021	A	`conf`	Tree Decomposed Graph Neural Network. CIKM Yu Wang, Tyler Derr
2021	J	`jnl`	Tree Decomposed Graph Neural Network. CoRR Yu Wang, Tyler Derr
2020	J	`jnl`	Attacking Black-box Recommendations via Copying Cross-domain User Profiles. CoRR Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li
2020	B	`conf`	Characterizing Teacher Connections in Online Social Media: A Case Study on Pinterest. L@S Hamid Karimi, Kaitlin T. Torphy, Tyler Derr, Kenneth A. Frank, Jiliang Tang
2020	J	`jnl`	Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models. CoRR Haochen Liu, Zhiwei Wang, Tyler Derr, Jiliang Tang
2020	A*	`conf`	Deep Graph Learning: Foundations, Advances and Applications. KDD Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma
2020	A	`conf`	Epidemic Graph Convolutional Network. WSDM Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu C. Aggarwal, Jiliang Tang
2020	A*	`conf`	Learning from Incomplete Labeled Data via Adversarial Data Generation. ICDM Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, Jiliang Tang
2020	J	`jnl`	Link and interaction polarity predictions in signed networks. Soc. Netw. Anal. Min. Tyler Derr, Zhiwei Wang, Jamell Dacon, Jiliang Tang
2020	A	`conf`	Network Analysis with Negative Links. WSDM Tyler Derr
2020	J	`jnl`	Node Similarity Preserving Graph Convolutional Networks. CoRR Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang
2020	B	`conf`	Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network. EDM Hamid Karimi, Tyler Derr, Jiangtao Huang, Jiliang Tang
2020	A*	`conf`	ROSE: Role-based Signed Network Embedding. WWW Amin Javari, Tyler Derr, Pouya Esmailian, Jiliang Tang, Kevin Chen-Chuan Chang
2020	J	`jnl`	Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries. CoRR Aaron Brookhouse, Tyler Derr, Hamid Karimi, H. Russell Bernard, Jiliang Tang
2020	J	`jnl`	Self-supervised Learning on Graphs: Deep Insights and New Direction. CoRR Wei Jin, Tyler Derr, Haochen Liu, Yiqi Wang, Suhang Wang, Zitao Liu, Jiliang Tang
2020	—	`conf`	Towards Improving Sample Representativeness of Teachers on Online Social Media: A Case Study on Pinterest. AIED (2) Hamid Karimi, Tyler Derr, Kaitlin T. Torphy, Kenneth A. Frank, Jiliang Tang
2020	—	`conf`	Understanding and Promoting Teacher Connections in Online Social Media: A Case Study on Pinterest. TALE Hamid Karimi, Kaitlin T. Torphy, Tyler Derr, Kenneth A. Frank, Jiliang Tang
2019	A	`conf`	Balance in Signed Bipartite Networks. CIKM Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang
2019	J	`jnl`	Balance in Signed Bipartite Networks. CoRR Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang
2019	J	`jnl`	Characterizing the Decision Boundary of Deep Neural Networks. CoRR Hamid Karimi, Tyler Derr, Jiliang Tang
2019	J	`jnl`	Deep Adversarial Network Alignment. CoRR Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang
2019	A*	`conf`	Deep Adversarial Social Recommendation. IJCAI Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li
2019	J	`jnl`	Deep Adversarial Social Recommendation. CoRR Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li
2019	B	`conf`	Multi-factor congressional vote prediction. ASONAM Hamid Karimi, Tyler Derr, Aaron Brookhouse, Jiliang Tang
2019	J	`jnl`	Say What I Want: Towards the Dark Side of Neural Dialogue Models. CoRR Haochen Liu, Tyler Derr, Zitao Liu, Jiliang Tang
2018	—	`conf`	Congressional Vote Analysis Using Signed Networks. ICDM Workshops Tyler Derr, Jiliang Tang
2018	B	`conf`	Opinions Power Opinions: Joint Link and Interaction Polarity Predictions in Signed Networks. ASONAM Tyler Derr, Zhiwei Wang, Jiliang Tang
2018	J	`jnl`	Signed Graph Convolutional Network. CoRR Tyler Derr, Yao Ma, Jiliang Tang
2018	A*	`conf`	Signed Graph Convolutional Networks. ICDM Tyler Derr, Yao Ma, Jiliang Tang
2018	A	`conf`	Signed Network Modeling Based on Structural Balance Theory. CIKM Tyler Derr, Charu C. Aggarwal, Jiliang Tang
2017	J	`jnl`	Signed Network Modeling Based on Structural Balance Theory. CoRR Tyler Derr, Charu C. Aggarwal, Jiliang Tang
2017	J	`jnl`	Signed Node Relevance Measurements. CoRR Tyler Derr, Chenxing Wang, Suhang Wang, Jiliang Tang
2017	A	`conf`	Understanding and Predicting Weight Loss with Mobile Social Networking Data. CIKM Zhiwei Wang, Tyler Derr, Dawei Yin, Jiliang Tang