Incentive Compatible Mechanisms for Group Ticket Allocation in Software Maintenance Services. - Karthik Subbian; Ramakrishnan Kannan; Raghav Kumar Gautam; Y. Narahari (APSEC, 2007)

Truth Eliciting Mechanisms for Trouble Ticket Allocation in Software Maintenance Services. - Karthik Subbian; Y. Narahari (SEKE, 2007)

A Nash bargaining approach to retention enhancing bid optimization in sponsored search auctions with discrete bids. - Ramakrishnan Kannan; Dinesh Garg; Karthik Subbian; Yadati Narahari (CASE, 2008)

Nash Bargaining Based Ad Networks for Sponsored Search Auctions. - Ramakrishnan Kannan; Dinesh Garg; Karthik Subbian; Y. Narahari (CEC, 2009)

Supervised Rank Aggregation for Predicting Influencers in Twitter. - Karthik Subbian; Prem Melville (SocialCom/PASSAT, 2011)

Supervised Rank Aggregation for Predicting Influence in Networks - Karthik Subbian; Prem Melville (CoRR, 2011)

Learning to rank for robust question answering. - Arvind Agarwal; Hema Raghavan; Karthik Subbian; Prem Melville; Richard D. Lawrence; David Gondek; James Fan (CIKM, 2012)

Dynamic matrix factorization: A state space approach. - John Z. Sun; Kush R. Varshney; Karthik Subbian (ICASSP, 2012)

Event Detection in Social Streams. - Charu C. Aggarwal; Karthik Subbian (SDM, 2012)

Dynamics of trust reciprocation in multi-relational networks. - Ayush Singhal; Karthik Subbian; Jaideep Srivastava; Tamara G. Kolda; Ali Pinar (ASONAM, 2013)

Social capital: the power of influencers in networks. - Karthik Subbian; Dhruv Sharma; Zhen Wen; Jaideep Srivastava (AAMAS, 2013)

Content-centric flow mining for influence analysis in social streams. - Karthik Subbian; Charu C. Aggarwal; Jaideep Srivastava (CIKM, 2013)

Community Detection with Prior Knowledge. - Karthik Subbian; Charu C. Aggarwal; Jaideep Srivastava; Philip S. Yu (SDM, 2013)

Climate Multi-model Regression Using Spatial Smoothing. - Karthik Subbian; Arindam Banerjee 001 (SDM, 2013)

On Reciprocity in Massively Multi-player Online Game Networks - Karthik Subbian; Ayush Singhal; Tamara G. Kolda; Ali Pinar; Jaideep Srivastava (CoRR, 2013)

Scalable Information Flow Mining in Networks. - Karthik Subbian; Chidananda Sridhar; Charu C. Aggarwal; Jaideep Srivastava (ECML/PKDD (3), 2014)

Evolutionary Network Analysis: A Survey. - Charu C. Aggarwal; Karthik Subbian (ACM Comput. Surv., 2014)

Finding influencers in networks using social capital. - Karthik Subbian; Dhruv Sharma; Zhen Wen; Jaideep Srivastava (Soc. Netw. Anal. Min., 2014)

Rare Class Detection in Networks. - Karthik Subbian; Charu C. Aggarwal; Jaideep Srivastava; Vipin Kumar 001 (SDM, 2015)

PLUMS: Predicting Links Using Multiple Sources. - Karthik Subbian; Arindam Banerjee 001; Sugato Basu (SDM, 2015)

Just in Time Recommendations: Modeling the Dynamics of Boredom in Activity Streams. - Komal Kapoor; Karthik Subbian; Jaideep Srivastava; Paul R. Schrater (WSDM, 2015)

Recommendations For Streaming Data. - Karthik Subbian; Charu C. Aggarwal; Kshiteesh Hegde (CIKM, 2016)

Querying and Tracking Influencers in Social Streams. - Karthik Subbian; Charu C. Aggarwal; Jaideep Srivastava (WSDM, 2016)

Mining Influencers Using Information Flows in Social Streams. - Karthik Subbian; Charu C. Aggarwal; Jaideep Srivastava (ACM Trans. Knowl. Discov. Data, 2016)

Understanding Short-term Changes in Online Activity Sessions. - Farshad Kooti; Karthik Subbian; Winter A. Mason; Lada A. Adamic; Kristina Lerman (WWW (Companion Volume), 2017)

Detecting Large Reshare Cascades in Social Networks. - Karthik Subbian; B. Aditya Prakash; Lada A. Adamic (WWW, 2017)

Mining Social Streams: Models and Applications. - Karthik Subbian; Charu C. Aggarwal (IEEE Data Eng. Bull., 2017)

Learning Diffusion using Hyperparameters. - Dimitris Kalimeris; Yaron Singer; Karthik Subbian; Udi Weinsberg (ICML, 2018)

Do Diffusion Protocols Govern Cascade Growth? - Justin Cheng; Jon M. Kleinberg; Jure Leskovec; David Liben-Nowell; Bogdan State; Karthik Subbian; Lada A. Adamic (ICWSM, 2018)

Identifying Facet Mismatches In Search Via Micrographs. - Sriram Srinivasan 004; Nikhil S. Rao; Karthik Subbian; Lise Getoor (CIKM, 2019)

Learning Robust Models for e-Commerce Product Search. - Thanh V. Nguyen; Nikhil Rao 001; Karthik Subbian (ACL, 2020)

Scalable Feature Selection for (Multitask) Gradient Boosted Trees. - Cuize Han; Nikhil Rao 001; Daria Sorokina; Karthik Subbian (AISTATS, 2020)

Regularized Graph Convolutional Networks for Short Text Classification. - Kshitij Tayal; Nikhil Rao 001; Saurabh Agarwal; Xiaowei Jia; Karthik Subbian; Vipin Kumar 001 (COLING (Industry), 2020)

Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms. - Aman Ahuja; Nikhil Rao 001; Sumeet Katariya; Karthik Subbian; Chandan K. Reddy (WSDM, 2020)

Learning Robust Models for e-Commerce Product Search. - Thanh Van Nguyen; Nikhil Rao 001; Karthik Subbian (CoRR, 2020)

Finding Needles in Heterogeneous Haystacks. - Bijaya Adhikari; Liangyue Li; Nikhil Rao 001; Karthik Subbian (AAAI, 2021)

Bipartite Dynamic Representations for Abuse Detection. - Andrew Z. Wang; Rex Ying; Pan Li 005; Nikhil Rao 001; Karthik Subbian; Jure Leskovec (KDD, 2021)

Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs. - Nurendra Choudhary; Nikhil Rao 001; Sumeet Katariya; Karthik Subbian; Chandan K. Reddy (NeurIPS, 2021)

Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs. - Nurendra Choudhary; Nikhil Rao 001; Sumeet Katariya; Karthik Subbian; Chandan K. Reddy (WWW, 2021)

Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment. - Zijie Huang 002; Zheng Li 018; Haoming Jiang; Tianyu Cao 001; Hanqing Lu; Bing Yin; Karthik Subbian; Yizhou Sun; Wei Wang 010 (ACL (1), 2022)

Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods. - Wenqing Zheng; Edward W. Huang; Nikhil Rao 001; Sumeet Katariya; Zhangyang Wang; Karthik Subbian (ICLR, 2022)

Graph-based Multilingual Language Model: Leveraging Product Relations for Search Relevance. - Nurendra Choudhary; Nikhil Rao 001; Karthik Subbian; Chandan K. Reddy (KDD, 2022)

Hyperbolic Neural Networks: Theory, Architectures and Applications. - Nurendra Choudhary; Nikhil Rao 001; Karthik Subbian; Srinivasan H. Sengamedu; Chandan K. Reddy (KDD, 2022)

Learning Backward Compatible Embeddings. - Weihua Hu; Rajas Bansal; Kaidi Cao; Nikhil Rao 001; Karthik Subbian; Jure Leskovec (KDD, 2022)

AutoGDA: Automated Graph Data Augmentation for Node Classification. - Tong Zhao 003; Xianfeng Tang; Danqing Zhang; Haoming Jiang; Nikhil Rao 001; Yiwei Song; Pallav Agrawal; Karthik Subbian; Bing Yin; Meng Jiang 001 (LoG, 2022)

Task-Agnostic Graph Explanations. - Yaochen Xie; Sumeet Katariya; Xianfeng Tang; Edward W. Huang; Nikhil Rao 001; Karthik Subbian; Shuiwang Ji (NeurIPS, 2022)

ANTHEM: Attentive Hyperbolic Entity Model for Product Search. - Nurendra Choudhary; Nikhil Rao 001; Sumeet Katariya; Karthik Subbian; Chandan K. Reddy (WSDM, 2022)

Accepted Tutorials at The Web Conference 2022. - Riccardo Tommasini 001; Senjuti Basu Roy; Xuan Wang 008; Hongwei Wang; Heng Ji 001; Jiawei Han 001; Preslav Nakov; Giovanni Da San Martino; Firoj Alam; Markus Schedl; Elisabeth Lex; Akash Bharadwaj; et al. (WWW (Companion Volume), 2022)

ALLIE: Active Learning on Large-scale Imbalanced Graphs. - Limeng Cui; Xianfeng Tang; Sumeet Katariya; Nikhil Rao 001; Pallav Agrawal; Karthik Subbian; Dongwon Lee 001 (WWW, 2022)

Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search. - Chandan K. Reddy; Lluís Màrquez; Fran Valero; Nikhil Rao 001; Hugo Zaragoza; Sambaran Bandyopadhyay; Arnab Biswas; Anlu Xing; Karthik Subbian (CoRR, 2022)

Text Enriched Sparse Hyperbolic Graph Convolutional Networks. - Nurendra Choudhary; Nikhil Rao 001; Karthik Subbian; Chandan K. Reddy (CoRR, 2022)

TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks. - Weihua Hu; Kaidi Cao; Kexin Huang; Edward W. Huang; Karthik Subbian; Jure Leskovec (CoRR, 2022)

Self-supervised Short-text Modeling through Auxiliary Context Generation. - Nurendra Choudhary; Charu C. Aggarwal; Karthik Subbian; Chandan K. Reddy (ACM Trans. Intell. Syst. Technol., 2022)

ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. - Zixuan Liu 001; Gaurush Hiranandani; Kun Qian 018; Edward W. Huang; Yi Xu 011; Belinda Zeng; Karthik Subbian; Sheng Wang 012 (CIKM, 2023)

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. - Wei Jin 009; Haitao Mao; Zheng Li 018; Haoming Jiang; Chen Luo 003; Hongzhi Wen; Haoyu Han 001; Hanqing Lu; Zhengyang Wang; Ruirui Li 002; Zhen Li; Monica Xiao Cheng; et al. (NeurIPS, 2023)

Search Behavior Prediction: A Hypergraph Perspective. - Yan Han 001; Edward W. Huang; Wenqing Zheng; Nikhil Rao 001; Zhangyang Wang; Karthik Subbian (WSDM, 2023)

Communication-Free Distributed GNN Training with Vertex Cut. - Kaidi Cao; Rui Deng; Shirley Wu; Edward W. Huang; Karthik Subbian; Jure Leskovec (CoRR, 2023)

Letter from the Special Issue Editor. - Karthik Subbian (IEEE Data Eng. Bull., 2023)

You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction. - Wenqing Zheng; Edward W. Huang; Nikhil Rao 001; Zhangyang Wang; Karthik Subbian (Trans. Mach. Learn. Res., 2023)

Covering a Graph with Dense Subgraph Families, via Triangle-Rich Sets. - Sabyasachi Basu; Daniel Paul-Pena; Kun Qian 018; C. Seshadhri 001; Edward W. Huang; Karthik Subbian (CIKM, 2024)

AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning. - Shirley Wu; Shiyu Zhao; Qian Huang; Kexin Huang; Michihiro Yasunaga; Kaidi Cao; Vassilis N. Ioannidis; Karthik Subbian; Jure Leskovec; James Y. Zou (NeurIPS, 2024)

STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases. - Shirley Wu; Shiyu Zhao; Michihiro Yasunaga; Kexin Huang; Kaidi Cao; Qian Huang; Vassilis N. Ioannidis; Karthik Subbian; James Y. Zou; Jure Leskovec (NeurIPS, 2024)

An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce. - Nurendra Choudhary; Edward W. Huang; Karthik Subbian; Chandan K. Reddy (WWW (Companion Volume), 2024)

Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training. - Charles Dickens; Edward W. Huang; Aishwarya Reganti; Jiong Zhu; Karthik Subbian; Danai Koutra (WWW (Companion Volume), 2024)

AvaTaR: Optimizing LLM Agents for Tool-Assisted Knowledge Retrieval. - Shirley Wu; Shiyu Zhao; Qian Huang; Kexin Huang; Michihiro Yasunaga; Kaidi Cao; Vassilis N. Ioannidis; Karthik Subbian; Jure Leskovec; James Zou 001 (CoRR, 2024)

All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks. - Ajay Jaiswal; Nurendra Choudhary; Ravinarayana Adkathimar; Muthu P. Alagappan; Gaurush Hiranandani; Ying Ding 001; Zhangyang Wang; Edward W. Huang; Karthik Subbian (CoRR, 2024)

Unleashing the Power of LLMs as Multi-Modal Encoders for Text and Graph-Structured Data. - Jiacheng Lin; Kun Qian 018; Haoyu Han; Nurendra Choudhary; Tianxin Wei; Zhongruo Wang; Sahika Genc; Edward W. Huang; Sheng Wang 012; Karthik Subbian; Danai Koutra; Jimeng Sun 001 (CoRR, 2024)

Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation. - Jiong Zhu; Aishwarya Reganti; Edward W. Huang; Charles Dickens; Nikhil Rao 001; Karthik Subbian; Danai Koutra (ACM Trans. Knowl. Discov. Data, 2025)

Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards. - 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 001; et al. (CoRR, 2025)