Karthik Subbian

91 papers A* 17A 20B 3C 2Misc 1Journal 38Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AgentDR: Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents. WWW Mingdai Yang, Nurendra Choudhary, Jiangshu Du, Edward W. Huang, Philip S. Yu, Karthik Subbian, Danai Koutra
2025	J	`jnl`	AgentDR Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents. CoRR Mingdai Yang, Nurendra Choudhary, Jiangshu Du, Edward W. Huang, Philip S. Yu, Karthik Subbian, Danai Koutra
2025	A	`conf`	GraFS: An Integrated GNN-LLM Approach for Inferring Best Functional Substitute Products. CIKM Favour Nerrise, Edward W. Huang, Xiaonan Ji, Karthik Subbian, Danai Koutra
2025	J	`jnl`	Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards. CoRR Shirley Wu, Parth Sarthi, Shiyu Zhao, Aaron Lee, Herumb Shandilya, Adrian Mladenic Grobelnik, Nurendra Choudhary, Edward W. Huang, Karthik Subbian, Linjun Zhang, Diyi Yang, James Zou, Jure Leskovec
2025	J	`jnl`	Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation. ACM Trans. Knowl. Discov. Data Jiong Zhu, Aishwarya Reganti, Edward W. Huang, Charles Dickens, Nikhil Rao, Karthik Subbian, Danai Koutra
2024	J	`jnl`	All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks. CoRR Ajay Jaiswal, Nurendra Choudhary, Ravinarayana Adkathimar, Muthu P. Alagappan, Gaurush Hiranandani, Ying Ding, Zhangyang Wang, Edward W. Huang, Karthik Subbian
2024	—	`conf`	An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce. WWW (Companion Volume) Nurendra Choudhary, Edward W. Huang, Karthik Subbian, Chandan K. Reddy
2024	J	`jnl`	An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce. CoRR Nurendra Choudhary, Edward W. Huang, Karthik Subbian, Chandan K. Reddy
2024	A*	`conf`	AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning. NeurIPS Shirley Wu, Shiyu Zhao, Qian Huang, Kexin Huang, Michihiro Yasunaga, Kaidi Cao, Vassilis N. Ioannidis, Karthik Subbian, Jure Leskovec, James Y. Zou
2024	J	`jnl`	AvaTaR: Optimizing LLM Agents for Tool-Assisted Knowledge Retrieval. CoRR Shirley Wu, Shiyu Zhao, Qian Huang, Kexin Huang, Michihiro Yasunaga, Kaidi Cao, Vassilis N. Ioannidis, Karthik Subbian, Jure Leskovec, James Zou
2024	A	`conf`	Covering a Graph with Dense Subgraph Families, via Triangle-Rich Sets. CIKM Sabyasachi Basu, Daniel Paul-Pena, Kun Qian, C. Seshadhri, Edward W. Huang, Karthik Subbian
2024	J	`jnl`	Covering a Graph with Dense Subgraph Families, via Triangle-Rich Sets. CoRR Sabyasachi Basu, Daniel Paul-Pena, Kun Qian, C. Seshadhri, Edward W. Huang, Karthik Subbian
2024	—	`conf`	Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training. WWW (Companion Volume) Charles Dickens, Edward W. Huang, Aishwarya Reganti, Jiong Zhu, Karthik Subbian, Danai Koutra
2024	A*	`conf`	STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases. NeurIPS Shirley Wu, Shiyu Zhao, Michihiro Yasunaga, Kexin Huang, Kaidi Cao, Qian Huang, Vassilis N. Ioannidis, Karthik Subbian, James Y. Zou, Jure Leskovec
2024	J	`jnl`	STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases. CoRR Shirley Wu, Shiyu Zhao, Michihiro Yasunaga, Kexin Huang, Kaidi Cao, Qian Huang, Vassilis N. Ioannidis, Karthik Subbian, James Zou, Jure Leskovec
2024	J	`jnl`	Unleashing the Power of LLMs as Multi-Modal Encoders for Text and Graph-Structured Data. CoRR Jiacheng Lin, Kun Qian, Haoyu Han, Nurendra Choudhary, Tianxin Wei, Zhongruo Wang, Sahika Genc, Edward W. Huang, Sheng Wang, Karthik Subbian, Danai Koutra, Jimeng Sun
2023	A*	`conf`	Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. NeurIPS Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang
2023	J	`jnl`	Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. CoRR Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang
2023	J	`jnl`	Communication-Free Distributed GNN Training with Vertex Cut. CoRR Kaidi Cao, Rui Deng, Shirley Wu, Edward W. Huang, Karthik Subbian, Jure Leskovec
2023	A	`conf`	ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. CIKM Zixuan Liu, Gaurush Hiranandani, Kun Qian, Edward W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang
2023	J	`jnl`	ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. CoRR Zixuan Liu, Gaurush Hiranandani, Kun Qian, Eddie W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang
2023	J	`jnl`	Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training. CoRR Charles Dickens, Eddie W. Huang, Aishwarya Reganti, Jiong Zhu, Karthik Subbian, Danai Koutra
2023	J	`jnl`	Letter from the Special Issue Editor. IEEE Data Eng. Bull. Karthik Subbian
2023	A	`conf`	Search Behavior Prediction: A Hypergraph Perspective. WSDM Yan Han, Edward W. Huang, Wenqing Zheng, Nikhil Rao, Zhangyang Wang, Karthik Subbian
2023	J	`jnl`	Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation. CoRR Jiong Zhu, Aishwarya Reganti, Edward W. Huang, Charles Dickens, Nikhil Rao, Karthik Subbian, Danai Koutra
2023	J	`jnl`	You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction. CoRR Wenqing Zheng, Edward W. Huang, Nikhil Rao, Zhangyang Wang, Karthik Subbian
2023	J	`jnl`	You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction. Trans. Mach. Learn. Res. Wenqing Zheng, Edward W. Huang, Nikhil Rao, Zhangyang Wang, Karthik Subbian
2022	A*	`conf`	ALLIE: Active Learning on Large-scale Imbalanced Graphs. WWW Limeng Cui, Xianfeng Tang, Sumeet Katariya, Nikhil Rao, Pallav Agrawal, Karthik Subbian, Dongwon Lee
2022	A	`conf`	ANTHEM: Attentive Hyperbolic Entity Model for Product Search. WSDM Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
2022	—	`conf`	Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
2022	—	`conf`	AutoGDA: Automated Graph Data Augmentation for Node Classification. LoG Tong Zhao, Xianfeng Tang, Danqing Zhang, Haoming Jiang, Nikhil Rao, Yiwei Song, Pallav Agrawal, Karthik Subbian, Bing Yin, Meng Jiang
2022	A*	`conf`	Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods. ICLR Wenqing Zheng, Edward W. Huang, Nikhil Rao, Sumeet Katariya, Zhangyang Wang, Karthik Subbian
2022	A*	`conf`	Graph-based Multilingual Language Model: Leveraging Product Relations for Search Relevance. KDD Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy
2022	A*	`conf`	Hyperbolic Neural Networks: Theory, Architectures and Applications. KDD Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy
2022	A*	`conf`	Learning Backward Compatible Embeddings. KDD Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec
2022	J	`jnl`	Learning Backward Compatible Embeddings. CoRR Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec
2022	—	`conf`	Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment. ACL (1) Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang
2022	J	`jnl`	Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment. CoRR Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang
2022	J	`jnl`	Search Behavior Prediction: A Hypergraph Perspective. CoRR Yan Han, Edward W. Huang, Wenqing Zheng, Nikhil Rao, Zhangyang Wang, Karthik Subbian
2022	J	`jnl`	Self-supervised Short-text Modeling through Auxiliary Context Generation. ACM Trans. Intell. Syst. Technol. Nurendra Choudhary, Charu C. Aggarwal, Karthik Subbian, Chandan K. Reddy
2022	J	`jnl`	Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search. CoRR Chandan K. Reddy, Lluís Màrquez, Fran Valero, Nikhil Rao, Hugo Zaragoza, Sambaran Bandyopadhyay, Arnab Biswas, Anlu Xing, Karthik Subbian
2022	A*	`conf`	Task-Agnostic Graph Explanations. NeurIPS Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward W. Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji
2022	J	`jnl`	Task-Agnostic Graph Explanations. CoRR Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward W. Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji
2022	J	`jnl`	Text Enriched Sparse Hyperbolic Graph Convolutional Networks. CoRR Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy
2022	J	`jnl`	TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks. CoRR Weihua Hu, Kaidi Cao, Kexin Huang, Edward W. Huang, Karthik Subbian, Jure Leskovec
2021	A*	`conf`	Bipartite Dynamic Representations for Abuse Detection. KDD Andrew Z. Wang, Rex Ying, Pan Li, Nikhil Rao, Karthik Subbian, Jure Leskovec
2021	J	`jnl`	Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods. CoRR Wenqing Zheng, Edward W. Huang, Nikhil Rao, Sumeet Katariya, Zhangyang Wang, Karthik Subbian
2021	A*	`conf`	Finding Needles in Heterogeneous Haystacks. AAAI Bijaya Adhikari, Liangyue Li, Nikhil Rao, Karthik Subbian
2021	A*	`conf`	Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs. NeurIPS Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
2021	J	`jnl`	Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs. CoRR Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
2021	J	`jnl`	Scalable Feature Selection for (Multitask) Gradient Boosted Trees. CoRR Cuize Han, Nikhil Rao, Daria Sorokina, Karthik Subbian
2021	A*	`conf`	Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs. WWW Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
2020	A	`conf`	Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms. WSDM Aman Ahuja, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
2020	A*	`conf`	Learning Robust Models for e-Commerce Product Search. ACL Thanh V. Nguyen, Nikhil Rao, Karthik Subbian
2020	J	`jnl`	Learning Robust Models for e-Commerce Product Search. CoRR Thanh Van Nguyen, Nikhil Rao, Karthik Subbian
2020	—	`conf`	Regularized Graph Convolutional Networks for Short Text Classification. COLING (Industry) Kshitij Tayal, Nikhil Rao, Saurabh Agarwal, Xiaowei Jia, Karthik Subbian, Vipin Kumar
2020	A	`conf`	Scalable Feature Selection for (Multitask) Gradient Boosted Trees. AISTATS Cuize Han, Nikhil Rao, Daria Sorokina, Karthik Subbian
2020	J	`jnl`	Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs. CoRR Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
2019	A	`conf`	Identifying Facet Mismatches In Search Via Micrographs. CIKM Sriram Srinivasan, Nikhil S. Rao, Karthik Subbian, Lise Getoor
2018	A	`conf`	Do Diffusion Protocols Govern Cascade Growth? ICWSM Justin Cheng, Jon M. Kleinberg, Jure Leskovec, David Liben-Nowell, Bogdan State, Karthik Subbian, Lada A. Adamic
2018	J	`jnl`	Do Diffusion Protocols Govern Cascade Growth? CoRR Justin Cheng, Jon M. Kleinberg, Jure Leskovec, David Liben-Nowell, Bogdan State, Karthik Subbian, Lada A. Adamic
2018	A*	`conf`	Learning Diffusion using Hyperparameters. ICML Dimitris Kalimeris, Yaron Singer, Karthik Subbian, Udi Weinsberg
2017	A*	`conf`	Detecting Large Reshare Cascades in Social Networks. WWW Karthik Subbian, B. Aditya Prakash, Lada A. Adamic
2017	J	`jnl`	Mining Social Streams: Models and Applications. IEEE Data Eng. Bull. Karthik Subbian, Charu C. Aggarwal
2017	—	`conf`	Understanding Short-term Changes in Online Activity Sessions. WWW (Companion Volume) Farshad Kooti, Karthik Subbian, Winter A. Mason, Lada A. Adamic, Kristina Lerman
2016	J	`jnl`	Mining Influencers Using Information Flows in Social Streams. ACM Trans. Knowl. Discov. Data Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava
2016	A	`conf`	Querying and Tracking Influencers in Social Streams. WSDM Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava
2016	A	`conf`	Recommendations For Streaming Data. CIKM Karthik Subbian, Charu C. Aggarwal, Kshiteesh Hegde
2015	A	`conf`	Just in Time Recommendations: Modeling the Dynamics of Boredom in Activity Streams. WSDM Komal Kapoor, Karthik Subbian, Jaideep Srivastava, Paul R. Schrater
2015	A	`conf`	PLUMS: Predicting Links Using Multiple Sources. SDM Karthik Subbian, Arindam Banerjee, Sugato Basu
2015	A	`conf`	Rare Class Detection in Networks. SDM Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava, Vipin Kumar
2014	J	`jnl`	Evolutionary Network Analysis: A Survey. ACM Comput. Surv. Charu C. Aggarwal, Karthik Subbian
2014	J	`jnl`	Finding influencers in networks using social capital. Soc. Netw. Anal. Min. Karthik Subbian, Dhruv Sharma, Zhen Wen, Jaideep Srivastava
2014	—	`conf`	Scalable Information Flow Mining in Networks. ECML/PKDD (3) Karthik Subbian, Chidananda Sridhar, Charu C. Aggarwal, Jaideep Srivastava
2013	A	`conf`	Climate Multi-model Regression Using Spatial Smoothing. SDM Karthik Subbian, Arindam Banerjee
2013	A	`conf`	Community Detection with Prior Knowledge. SDM Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava, Philip S. Yu
2013	A	`conf`	Content-centric flow mining for influence analysis in social streams. CIKM Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava
2013	B	`conf`	Dynamics of trust reciprocation in multi-relational networks. ASONAM Ayush Singhal, Karthik Subbian, Jaideep Srivastava, Tamara G. Kolda, Ali Pinar
2013	B	`conf`	Finding influencers in networks using social capital. ASONAM Karthik Subbian, Dhruv Sharma, Zhen Wen, Jaideep Srivastava
2013	J	`jnl`	On Reciprocity in Massively Multi-player Online Game Networks CoRR Karthik Subbian, Ayush Singhal, Tamara G. Kolda, Ali Pinar, Jaideep Srivastava
2013	A	`conf`	Social capital: the power of influencers in networks. AAMAS Karthik Subbian, Dhruv Sharma, Zhen Wen, Jaideep Srivastava
2012	Misc	`conf`	Dynamic matrix factorization: A state space approach. ICASSP John Z. Sun, Kush R. Varshney, Karthik Subbian
2012	A	`conf`	Event Detection in Social Streams. SDM Charu C. Aggarwal, Karthik Subbian
2012	A	`conf`	Learning to rank for robust question answering. CIKM Arvind Agarwal, Hema Raghavan, Karthik Subbian, Prem Melville, Richard D. Lawrence, David Gondek, James Fan
2011	J	`jnl`	Dynamic Matrix Factorization: A State Space Approach CoRR John Z. Sun, Kush R. Varshney, Karthik Subbian
2011	J	`jnl`	Supervised Rank Aggregation for Predicting Influence in Networks CoRR Karthik Subbian, Prem Melville
2011	—	`conf`	Supervised Rank Aggregation for Predicting Influencers in Twitter. SocialCom/PASSAT Karthik Subbian, Prem Melville
2009	B	`conf`	Nash Bargaining Based Ad Networks for Sponsored Search Auctions. CEC Ramakrishnan Kannan, Dinesh Garg, Karthik Subbian, Y. Narahari
2008	—	`conf`	A Nash bargaining approach to retention enhancing bid optimization in sponsored search auctions with discrete bids. CASE Ramakrishnan Kannan, Dinesh Garg, Karthik Subbian, Yadati Narahari
2007	C	`conf`	Incentive Compatible Mechanisms for Group Ticket Allocation in Software Maintenance Services. APSEC Karthik Subbian, Ramakrishnan Kannan, Raghav Kumar Gautam, Y. Narahari
2007	C	`conf`	Truth Eliciting Mechanisms for Trouble Ticket Allocation in Software Maintenance Services. SEKE Karthik Subbian, Y. Narahari