Karthik Subbian

According to our database, Karthik Subbian authored at least 66 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, Zhangyang Wang, Edward W. Huang, Karthik Subbian

CoRR, 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

CoRR, 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 Zou, Jure Leskovec

CoRR, 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

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 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

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Covering a Graph with Dense Subgraph Families, via Triangle-Rich Sets.

Sabyasachi Basu, Daniel Paul-Pena, Kun Qian, C. Seshadhri, Edward W. Huang, Karthik Subbian

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction.

Wenqing Zheng, Edward W. Huang, Nikhil Rao, Zhangyang Wang, Karthik Subbian

Trans. Mach. Learn. Res., 2023

Letter from the Special Issue Editor.

Karthik Subbian

IEEE Data Eng. Bull., 2023

Communication-Free Distributed GNN Training with Vertex Cut.

Kaidi Cao, Rui Deng, Shirley Wu, Edward W. Huang, Karthik Subbian, Jure Leskovec

CoRR, 2023

Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation.

Jiong Zhu, Aishwarya Reganti, Edward W. Huang, Charles Dickens, Nikhil Rao, Karthik Subbian, Danai Koutra

CoRR, 2023

Search Behavior Prediction: A Hypergraph Perspective.

Yan Han, Edward W. Huang, Wenqing Zheng, Nikhil Rao, Zhangyang Wang, Karthik Subbian

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding.

Zixuan Liu, Gaurush Hiranandani, Kun Qian, Edward W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

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

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

Text Enriched Sparse Hyperbolic Graph Convolutional Networks.

Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy

CoRR, 2022

Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search.

Chandan K. Reddy, Lluís Màrquez, Fran Valero, Nikhil Rao, Hugo Zaragoza, Sambaran Bandyopadhyay, Arnab Biswas, Anlu Xing, Karthik Subbian

CoRR, 2022

ALLIE: Active Learning on Large-scale Imbalanced Graphs.

Limeng Cui, Xianfeng Tang, Sumeet Katariya, Nikhil Rao, Pallav Agrawal, Karthik Subbian, Dongwon Lee

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Accepted Tutorials at The Web Conference 2022.

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 Lye, 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

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

ANTHEM: Attentive Hyperbolic Entity Model for Product Search.

Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Task-Agnostic Graph Explanations.

Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward W. Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AutoGDA: Automated Graph Data Augmentation for Node Classification.

Tong Zhao, Xianfeng Tang, Danqing Zhang, Haoming Jiang, Nikhil Rao, Yiwei Song, Pallav Agrawal, Karthik Subbian, Bing Yin, Meng Jiang

Proceedings of the Learning on Graphs Conference, 2022

Learning Backward Compatible Embeddings.

Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Hyperbolic Neural Networks: Theory, Architectures and Applications.

Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Graph-based Multilingual Language Model: Leveraging Product Relations for Search Relevance.

Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods.

Wenqing Zheng, Edward W. Huang, Nikhil Rao, Sumeet Katariya, Zhangyang Wang, Karthik Subbian

Proceedings of the Tenth International Conference on Learning Representations, 2022

Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment.

Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs.

Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy

Proceedings of the WWW '21: The Web Conference 2021, 2021

Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs.

Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Bipartite Dynamic Representations for Abuse Detection.

Andrew Z. Wang, Rex Ying, Pan Li, Nikhil Rao, Karthik Subbian, Jure Leskovec

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Finding Needles in Heterogeneous Haystacks.

Bijaya Adhikari, Liangyue Li, Nikhil Rao, Karthik Subbian

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning Robust Models for e-Commerce Product Search.

Thanh Van Nguyen, Nikhil Rao, Karthik Subbian

CoRR, 2020

Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms.

Aman Ahuja, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Regularized Graph Convolutional Networks for Short Text Classification.

Kshitij Tayal, Nikhil Rao, Saurabh Agarwal, Xiaowei Jia, Karthik Subbian, Vipin Kumar

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Scalable Feature Selection for (Multitask) Gradient Boosted Trees.

Cuize Han, Nikhil Rao, Daria Sorokina, Karthik Subbian

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Learning Robust Models for e-Commerce Product Search.

Thanh V. Nguyen, Nikhil Rao, Karthik Subbian

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Identifying Facet Mismatches In Search Via Micrographs.

Sriram Srinivasan, Nikhil S. Rao, Karthik Subbian, Lise Getoor

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Do Diffusion Protocols Govern Cascade Growth?

Justin Cheng, Jon M. Kleinberg, Jure Leskovec, David Liben-Nowell, Bogdan State, Karthik Subbian, Lada A. Adamic

Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Learning Diffusion using Hyperparameters.

Dimitris Kalimeris, Yaron Singer, Karthik Subbian, Udi Weinsberg

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Mining Social Streams: Models and Applications.

Karthik Subbian, Charu C. Aggarwal

IEEE Data Eng. Bull., 2017

Detecting Large Reshare Cascades in Social Networks.

Karthik Subbian, B. Aditya Prakash, Lada A. Adamic

Proceedings of the 26th International Conference on World Wide Web, 2017

Understanding Short-term Changes in Online Activity Sessions.

Farshad Kooti, Karthik Subbian, Winter A. Mason, Lada A. Adamic, Kristina Lerman

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

2016

Mining Influencers Using Information Flows in Social Streams.

Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava

ACM Trans. Knowl. Discov. Data, 2016

Querying and Tracking Influencers in Social Streams.

Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Recommendations For Streaming Data.

Karthik Subbian, Charu C. Aggarwal, Kshiteesh Hegde

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Just in Time Recommendations: Modeling the Dynamics of Boredom in Activity Streams.

Komal Kapoor, Karthik Subbian, Jaideep Srivastava, Paul R. Schrater

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

PLUMS: Predicting Links Using Multiple Sources.

Karthik Subbian, Arindam Banerjee, Sugato Basu

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Rare Class Detection in Networks.

Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava, Vipin Kumar

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

2014

Finding influencers in networks using social capital.

Karthik Subbian, Dhruv Sharma, Zhen Wen, Jaideep Srivastava

Soc. Netw. Anal. Min., 2014

Evolutionary Network Analysis: A Survey.

Charu C. Aggarwal, Karthik Subbian

ACM Comput. Surv., 2014

Scalable Information Flow Mining in Networks.

Karthik Subbian, Chidananda Sridhar, Charu C. Aggarwal, Jaideep Srivastava

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013

On Reciprocity in Massively Multi-player Online Game Networks

Karthik Subbian, Ayush Singhal, Tamara G. Kolda, Ali Pinar, Jaideep Srivastava

CoRR, 2013

Climate Multi-model Regression Using Spatial Smoothing.

Karthik Subbian, Arindam Banerjee

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Community Detection with Prior Knowledge.

Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava, Philip S. Yu

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Content-centric flow mining for influence analysis in social streams.

Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Social capital: the power of influencers in networks.

Karthik Subbian, Dhruv Sharma, Zhen Wen, Jaideep Srivastava

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

Dynamics of trust reciprocation in multi-relational networks.

Ayush Singhal, Karthik Subbian, Jaideep Srivastava, Tamara G. Kolda, Ali Pinar

Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012

Event Detection in Social Streams.

Charu C. Aggarwal, Karthik Subbian

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Dynamic matrix factorization: A state space approach.

John Z. Sun, Kush R. Varshney, Karthik Subbian

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Learning to rank for robust question answering.

Arvind Agarwal, Hema Raghavan, Karthik Subbian, Prem Melville, Richard D. Lawrence, David Gondek, James Fan

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Supervised Rank Aggregation for Predicting Influence in Networks

Karthik Subbian, Prem Melville

CoRR, 2011

Supervised Rank Aggregation for Predicting Influencers in Twitter.

Karthik Subbian, Prem Melville

Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

2009

Nash Bargaining Based Ad Networks for Sponsored Search Auctions.

Ramakrishnan Kannan, Dinesh Garg, Karthik Subbian, Y. Narahari

Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing, 2009

2008

A Nash bargaining approach to retention enhancing bid optimization in sponsored search auctions with discrete bids.

Ramakrishnan Kannan, Dinesh Garg, Karthik Subbian, Yadati Narahari

Proceedings of the 2008 IEEE International Conference on Automation Science and Engineering, 2008

2007

Truth Eliciting Mechanisms for Trouble Ticket Allocation in Software Maintenance Services.

Karthik Subbian, Y. Narahari

Proceedings of the Nineteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2007), 2007

Incentive Compatible Mechanisms for Group Ticket Allocation in Software Maintenance Services.

Karthik Subbian, Ramakrishnan Kannan, Raghav Kumar Gautam, Y. Narahari

Proceedings of the 14th Asia-Pacific Software Engineering Conference (APSEC 2007), 2007