Karthik Subbian

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 59

Top Topics

Information Flow

Top Venues

WWW (Companion Volume)

Publications

Charles Dickens, Edward W. Huang, Aishwarya Reganti, Jiong Zhu, Karthik Subbian, Danai Koutra
Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training. WWW (Companion Volume) (2024)
Shirley Wu, Shiyu Zhao, Qian Huang, Kexin Huang, Michihiro Yasunaga, Kaidi Cao, Vassilis N. Ioannidis, Karthik Subbian, Jure Leskovec, James Zou
AvaTaR: Optimizing LLM Agents for Tool-Assisted Knowledge Retrieval. CoRR (2024)
Nurendra Choudhary, Edward W. Huang, Karthik Subbian, Chandan K. Reddy
An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce. CoRR (2024)
Sabyasachi Basu, Daniel Paul-Pena, Kun Qian, C. Seshadhri, Edward W. Huang, Karthik Subbian
Covering a Graph with Dense Subgraph Families, via Triangle-Rich Sets. CoRR (2024)
Shirley Wu, Shiyu Zhao, Michihiro Yasunaga, Kexin Huang, Kaidi Cao, Qian Huang, Vassilis N. Ioannidis, Karthik Subbian, James Zou, Jure Leskovec
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases. CoRR (2024)
Ajay Jaiswal, Nurendra Choudhary, Ravinarayana Adkathimar, Muthu P. Alagappan, Gaurush Hiranandani, Ying Ding, Zhangyang Wang, Edward W. Huang, Karthik Subbian
All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks. CoRR (2024)
Nurendra Choudhary, Edward W. Huang, Karthik Subbian, Chandan K. Reddy
An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce. WWW (Companion Volume) (2024)
Jiong Zhu, Aishwarya Reganti, Edward W. Huang, Charles Dickens, Nikhil Rao, Karthik Subbian, Danai Koutra
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation. CoRR (2023)
Zixuan Liu, Gaurush Hiranandani, Kun Qian, Eddie W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. CoRR (2023)
Karthik Subbian
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 46 (2) (2023)
Yan Han, Edward W. Huang, Wenqing Zheng, Nikhil Rao, Zhangyang Wang, Karthik Subbian
Search Behavior Prediction: A Hypergraph Perspective. WSDM (2023)
Zixuan Liu, Gaurush Hiranandani, Kun Qian, Edward W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. CIKM (2023)
Kaidi Cao, Rui Deng, Shirley Wu, Edward W. Huang, Karthik Subbian, Jure Leskovec
Communication-Free Distributed GNN Training with Vertex Cut. CoRR (2023)
Wenqing Zheng, Edward W. Huang, Nikhil Rao, Zhangyang Wang, Karthik Subbian
You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction. Trans. Mach. Learn. Res. 2023 (2023)
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
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. CoRR (2023)
Wenqing Zheng, Edward W. Huang, Nikhil Rao, Zhangyang Wang, Karthik Subbian
You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction. CoRR (2023)
Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. NeurIPS (2023)
Charles Dickens, Eddie W. Huang, Aishwarya Reganti, Jiong Zhu, Karthik Subbian, Danai Koutra
Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training. CoRR (2023)
Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy
Hyperbolic Neural Networks: Theory, Architectures and Applications. KDD (2022)
Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward W. Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji
Task-Agnostic Graph Explanations. NeurIPS (2022)
Tong Zhao, Xianfeng Tang, Danqing Zhang, Haoming Jiang, Nikhil Rao, Yiwei Song, Pallav Agrawal, Karthik Subbian, Bing Yin, Meng Jiang
AutoGDA: Automated Graph Data Augmentation for Node Classification. LoG (2022)
Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment. CoRR (2022)
Limeng Cui, Xianfeng Tang, Sumeet Katariya, Nikhil Rao, Pallav Agrawal, Karthik Subbian, Dongwon Lee
ALLIE: Active Learning on Large-scale Imbalanced Graphs. WWW (2022)
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
ANTHEM: Attentive Hyperbolic Entity Model for Product Search. WSDM (2022)
Yan Han, Edward W. Huang, Wenqing Zheng, Nikhil Rao, Zhangyang Wang, Karthik Subbian
Search Behavior Prediction: A Hypergraph Perspective. CoRR (2022)
Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy
Text Enriched Sparse Hyperbolic Graph Convolutional Networks. CoRR (2022)
Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy
Graph-based Multilingual Language Model: Leveraging Product Relations for Search Relevance. KDD (2022)
Chandan K. Reddy, Lluís Màrquez, Fran Valero, Nikhil Rao, Hugo Zaragoza, Sambaran Bandyopadhyay, Arnab Biswas, Anlu Xing, Karthik Subbian
Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search. CoRR (2022)
Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec
Learning Backward Compatible Embeddings. KDD (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
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) (2022)
Wenqing Zheng, Edward W. Huang, Nikhil Rao, Sumeet Katariya, Zhangyang Wang, Karthik Subbian
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods. ICLR (2022)
Weihua Hu, Kaidi Cao, Kexin Huang, Edward W. Huang, Karthik Subbian, Jure Leskovec
TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks. CoRR (2022)
Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji
Task-Agnostic Graph Explanations. CoRR (2022)
Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment. ACL (1) (2022)
Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec
Learning Backward Compatible Embeddings. CoRR (2022)
Nurendra Choudhary, Charu C. Aggarwal, Karthik Subbian, Chandan K. Reddy
Self-supervised Short-text Modeling through Auxiliary Context Generation. ACM Trans. Intell. Syst. Technol. 13 (3) (2022)
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs. WWW (2021)
Cuize Han, Nikhil Rao, Daria Sorokina, Karthik Subbian
Scalable Feature Selection for (Multitask) Gradient Boosted Trees. CoRR (2021)
Wenqing Zheng, Edward W. Huang, Nikhil Rao, Sumeet Katariya, Zhangyang Wang, Karthik Subbian
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods. CoRR (2021)
Andrew Z. Wang, Rex Ying, Pan Li, Nikhil Rao, Karthik Subbian, Jure Leskovec
Bipartite Dynamic Representations for Abuse Detection. KDD (2021)
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs. CoRR (2021)
Bijaya Adhikari, Liangyue Li, Nikhil Rao, Karthik Subbian
Finding Needles in Heterogeneous Haystacks. AAAI (2021)
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs. NeurIPS (2021)
Aman Ahuja, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms. WSDM (2020)
Thanh V. Nguyen, Nikhil Rao, Karthik Subbian
Learning Robust Models for e-Commerce Product Search. CoRR (2020)
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs. CoRR (2020)
Thanh V. Nguyen, Nikhil Rao, Karthik Subbian
Learning Robust Models for e-Commerce Product Search. ACL (2020)
Cuize Han, Nikhil Rao, Daria Sorokina, Karthik Subbian
Scalable Feature Selection for (Multitask) Gradient Boosted Trees. AISTATS (2020)
Kshitij Tayal, Nikhil S. Rao, Saurabh Agarwal, Xiaowei Jia, Karthik Subbian, Vipin Kumar
Regularized Graph Convolutional Networks for Short Text Classification. COLING (Industry) (2020)
Sriram Srinivasan, Nikhil S. Rao, Karthik Subbian, Lise Getoor
Identifying Facet Mismatches In Search Via Micrographs. CIKM (2019)
Dimitris Kalimeris, Yaron Singer, Karthik Subbian, Udi Weinsberg
Learning Diffusion using Hyperparameters. ICML (2018)
Justin Cheng, Jon M. Kleinberg, Jure Leskovec, David Liben-Nowell, Bogdan State, Karthik Subbian, Lada A. Adamic
Do Diffusion Protocols Govern Cascade Growth? ICWSM (2018)
Justin Cheng, Jon M. Kleinberg, Jure Leskovec, David Liben-Nowell, Bogdan State, Karthik Subbian, Lada A. Adamic
Do Diffusion Protocols Govern Cascade Growth? CoRR (2018)
Karthik Subbian, Charu C. Aggarwal
Mining Social Streams: Models and Applications. IEEE Data Eng. Bull. 40 (3) (2017)
Farshad Kooti, Karthik Subbian, Winter A. Mason, Lada A. Adamic, Kristina Lerman
Understanding Short-term Changes in Online Activity Sessions. WWW (Companion Volume) (2017)
Karthik Subbian, B. Aditya Prakash, Lada A. Adamic
Detecting Large Reshare Cascades in Social Networks. WWW (2017)
Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava
Mining Influencers Using Information Flows in Social Streams. ACM Trans. Knowl. Discov. Data 10 (3) (2016)
Karthik Subbian, Charu C. Aggarwal, Kshiteesh Hegde
Recommendations For Streaming Data. CIKM (2016)
Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava
Querying and Tracking Influencers in Social Streams. WSDM (2016)
Karthik Subbian, Arindam Banerjee, Sugato Basu
PLUMS: Predicting Links Using Multiple Sources. SDM (2015)
Komal Kapoor, Karthik Subbian, Jaideep Srivastava, Paul R. Schrater
Just in Time Recommendations: Modeling the Dynamics of Boredom in Activity Streams. WSDM (2015)
Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava, Vipin Kumar
Rare Class Detection in Networks. SDM (2015)
Karthik Subbian, Dhruv Sharma, Zhen Wen, Jaideep Srivastava
Finding influencers in networks using social capital. Soc. Netw. Anal. Min. 4 (1) (2014)
Charu C. Aggarwal, Karthik Subbian
Evolutionary Network Analysis: A Survey. ACM Comput. Surv. 47 (1) (2014)
Karthik Subbian, Chidananda Sridhar, Charu C. Aggarwal, Jaideep Srivastava
Scalable Information Flow Mining in Networks. ECML/PKDD (3) (2014)
Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava, Philip S. Yu
Community Detection with Prior Knowledge. SDM (2013)
Karthik Subbian, Dhruv Sharma, Zhen Wen, Jaideep Srivastava
Social capital: the power of influencers in networks. AAMAS (2013)
Ayush Singhal, Karthik Subbian, Jaideep Srivastava, Tamara G. Kolda, Ali Pinar
Dynamics of trust reciprocation in multi-relational networks. ASONAM (2013)
Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava
Content-centric flow mining for influence analysis in social streams. CIKM (2013)
Karthik Subbian, Ayush Singhal, Tamara G. Kolda, Ali Pinar, Jaideep Srivastava
On Reciprocity in Massively Multi-player Online Game Networks CoRR (2013)
Karthik Subbian, Dhruv Sharma, Zhen Wen, Jaideep Srivastava
Finding influencers in networks using social capital. ASONAM (2013)
Karthik Subbian, Arindam Banerjee
Climate Multi-model Regression Using Spatial Smoothing. SDM (2013)
Charu C. Aggarwal, Karthik Subbian
Event Detection in Social Streams. SDM (2012)
Arvind Agarwal, Hema Raghavan, Karthik Subbian, Prem Melville, Richard D. Lawrence, David Gondek, James Fan
Learning to rank for robust question answering. CIKM (2012)
John Z. Sun, Kush R. Varshney, Karthik Subbian
Dynamic matrix factorization: A state space approach. ICASSP (2012)
John Z. Sun, Kush R. Varshney, Karthik Subbian
Dynamic Matrix Factorization: A State Space Approach CoRR (2011)
Karthik Subbian, Prem Melville
Supervised Rank Aggregation for Predicting Influence in Networks CoRR (2011)
Karthik Subbian, Prem Melville
Supervised Rank Aggregation for Predicting Influencers in Twitter. SocialCom/PASSAT (2011)
Ramakrishnan Kannan, Dinesh Garg, Karthik Subbian, Y. Narahari
Nash Bargaining Based Ad Networks for Sponsored Search Auctions. CEC (2009)
Ramakrishnan Kannan, Dinesh Garg, Karthik Subbian, Yadati Narahari
A Nash bargaining approach to retention enhancing bid optimization in sponsored search auctions with discrete bids. CASE (2008)
Karthik Subbian, Y. Narahari
Truth Eliciting Mechanisms for Trouble Ticket Allocation in Software Maintenance Services. SEKE (2007)
Karthik Subbian, Ramakrishnan Kannan, Raghav Kumar Gautam, Y. Narahari
Incentive Compatible Mechanisms for Group Ticket Allocation in Software Maintenance Services. APSEC (2007)