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2020 – today
- 2024
[c49]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. CIKM 2024: 109-119- [c48]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: 206-215 - [c47]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: 1502-1510 - [i27]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 abs/2403.00923 (2024) - [i26]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 abs/2404.13207 (2024) - [i25]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 abs/2406.11200 (2024) - [i24]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 abs/2407.14996 (2024) - [i23]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 abs/2407.16850 (2024) - 2023
- [j7]Karthik Subbian:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 46(2): 4 (2023) - [j6]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) - [c46]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: 1523-1533 - [c45]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. NeurIPS 2023 - [c44]Yan Han, Edward W. Huang, Wenqing Zheng, Nikhil Rao, Zhangyang Wang, Karthik Subbian:
Search Behavior Prediction: A Hypergraph Perspective. WSDM 2023: 697-705 - [i22]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 abs/2302.14189 (2023) - [i21]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 abs/2305.09887 (2023) - [i20]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 abs/2307.09688 (2023) - [i19]Kaidi Cao, Rui Deng, Shirley Wu, Edward W. Huang, Karthik Subbian, Jure Leskovec:
Communication-Free Distributed GNN Training with Vertex Cut. CoRR abs/2308.03209 (2023) - [i18]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 abs/2310.04865 (2023) - [i17]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 abs/2312.15520 (2023) - 2022
- [j5]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): 51:1-51:21 (2022) - [c43]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: 474-485 - [c42]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 - [c41]Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy:
Graph-based Multilingual Language Model: Leveraging Product Relations for Search Relevance. KDD 2022: 2789-2799 - [c40]Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec:
Learning Backward Compatible Embeddings. KDD 2022: 3018-3028 - [c39]Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy:
Hyperbolic Neural Networks: Theory, Architectures and Applications. KDD 2022: 4778-4779 - [c38]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: 32 - [c37]Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward W. Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji:
Task-Agnostic Graph Explanations. NeurIPS 2022 - [c36]Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy:
ANTHEM: Attentive Hyperbolic Entity Model for Product Search. WSDM 2022: 161-171 - [c35]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: 391-399 - [c34]Limeng Cui, Xianfeng Tang, Sumeet Katariya, Nikhil Rao, Pallav Agrawal, Karthik Subbian, Dongwon Lee:
ALLIE: Active Learning on Large-scale Imbalanced Graphs. WWW 2022: 690-698 - [i16]Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward W. Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji:
Task-Agnostic Graph Explanations. CoRR abs/2202.08335 (2022) - [i15]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 abs/2203.14987 (2022) - [i14]Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec:
Learning Backward Compatible Embeddings. CoRR abs/2206.03040 (2022) - [i13]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 abs/2206.06588 (2022) - [i12]Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy:
Text Enriched Sparse Hyperbolic Graph Convolutional Networks. CoRR abs/2207.02368 (2022) - [i11]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 abs/2210.14843 (2022) - [i10]Yan Han, Edward W. Huang, Wenqing Zheng, Nikhil Rao, Zhangyang Wang, Karthik Subbian:
Search Behavior Prediction: A Hypergraph Perspective. CoRR abs/2211.13328 (2022) - 2021
- [c33]Bijaya Adhikari, Liangyue Li, Nikhil Rao, Karthik Subbian:
Finding Needles in Heterogeneous Haystacks. AAAI 2021: 15232-15239 - [c32]Andrew Z. Wang, Rex Ying, Pan Li, Nikhil Rao, Karthik Subbian, Jure Leskovec:
Bipartite Dynamic Representations for Abuse Detection. KDD 2021: 3638-3648 - [c31]Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy:
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs. NeurIPS 2021: 23440-23451 - [c30]Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy:
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs. WWW 2021: 1373-1384 - [i9]Cuize Han, Nikhil Rao, Daria Sorokina, Karthik Subbian:
Scalable Feature Selection for (Multitask) Gradient Boosted Trees. CoRR abs/2109.01965 (2021) - [i8]Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy:
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs. CoRR abs/2110.13522 (2021) - [i7]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 abs/2111.04840 (2021) - 2020
- [c29]Thanh V. Nguyen, Nikhil Rao, Karthik Subbian:
Learning Robust Models for e-Commerce Product Search. ACL 2020: 6861-6869 - [c28]Cuize Han, Nikhil Rao, Daria Sorokina, Karthik Subbian:
Scalable Feature Selection for (Multitask) Gradient Boosted Trees. AISTATS 2020: 885-894 - [c27]Kshitij Tayal, Nikhil Rao, Saurabh Agarwal, Xiaowei Jia, Karthik Subbian, Vipin Kumar:
Regularized Graph Convolutional Networks for Short Text Classification. COLING (Industry) 2020: 236-242 - [c26]Aman Ahuja, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy:
Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms. WSDM 2020: 7-15 - [i6]Thanh Van Nguyen, Nikhil Rao, Karthik Subbian:
Learning Robust Models for e-Commerce Product Search. CoRR abs/2005.03624 (2020) - [i5]Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy:
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs. CoRR abs/2012.13023 (2020)
2010 – 2019
- 2019
- [c25]Sriram Srinivasan, Nikhil S. Rao, Karthik Subbian, Lise Getoor:
Identifying Facet Mismatches In Search Via Micrographs. CIKM 2019: 1663-1672 - 2018
- [c24]Dimitris Kalimeris, Yaron Singer, Karthik Subbian, Udi Weinsberg:
Learning Diffusion using Hyperparameters. ICML 2018: 2425-2433 - [c23]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: 32-41 - [i4]Justin Cheng, Jon M. Kleinberg, Jure Leskovec, David Liben-Nowell, Bogdan State, Karthik Subbian, Lada A. Adamic:
Do Diffusion Protocols Govern Cascade Growth? CoRR abs/1805.07368 (2018) - 2017
- [j4]Karthik Subbian, Charu C. Aggarwal:
Mining Social Streams: Models and Applications. IEEE Data Eng. Bull. 40(3): 100-109 (2017) - [c22]Farshad Kooti, Karthik Subbian, Winter A. Mason, Lada A. Adamic, Kristina Lerman:
Understanding Short-term Changes in Online Activity Sessions. WWW (Companion Volume) 2017: 555-563 - [c21]Karthik Subbian, B. Aditya Prakash, Lada A. Adamic:
Detecting Large Reshare Cascades in Social Networks. WWW 2017: 597-605 - 2016
- [j3]Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava:
Mining Influencers Using Information Flows in Social Streams. ACM Trans. Knowl. Discov. Data 10(3): 26:1-26:28 (2016) - [c20]Karthik Subbian, Charu C. Aggarwal, Kshiteesh Hegde:
Recommendations For Streaming Data. CIKM 2016: 2185-2190 - [c19]Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava:
Querying and Tracking Influencers in Social Streams. WSDM 2016: 493-502 - 2015
- [c18]Karthik Subbian, Arindam Banerjee, Sugato Basu:
PLUMS: Predicting Links Using Multiple Sources. SDM 2015: 370-378 - [c17]Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava, Vipin Kumar:
Rare Class Detection in Networks. SDM 2015: 406-414 - [c16]Komal Kapoor, Karthik Subbian, Jaideep Srivastava, Paul R. Schrater:
Just in Time Recommendations: Modeling the Dynamics of Boredom in Activity Streams. WSDM 2015: 233-242 - 2014
- [j2]Charu C. Aggarwal, Karthik Subbian:
Evolutionary Network Analysis: A Survey. ACM Comput. Surv. 47(1): 10:1-10:36 (2014) - [j1]Karthik Subbian, Dhruv Sharma, Zhen Wen, Jaideep Srivastava:
Finding influencers in networks using social capital. Soc. Netw. Anal. Min. 4(1): 219 (2014) - [c15]Karthik Subbian, Chidananda Sridhar, Charu C. Aggarwal, Jaideep Srivastava:
Scalable Information Flow Mining in Networks. ECML/PKDD (3) 2014: 130-146 - 2013
- [c14]Karthik Subbian, Dhruv Sharma, Zhen Wen, Jaideep Srivastava:
Finding influencers in networks using social capital. ASONAM 2013: 592-599 - [c13]Ayush Singhal, Karthik Subbian, Jaideep Srivastava, Tamara G. Kolda, Ali Pinar:
Dynamics of trust reciprocation in multi-relational networks. ASONAM 2013: 661-665 - [c12]Karthik Subbian, Dhruv Sharma, Zhen Wen, Jaideep Srivastava:
Social capital: the power of influencers in networks. AAMAS 2013: 1243-1244 - [c11]Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava:
Content-centric flow mining for influence analysis in social streams. CIKM 2013: 841-846 - [c10]Karthik Subbian, Arindam Banerjee:
Climate Multi-model Regression Using Spatial Smoothing. SDM 2013: 324-332 - [c9]Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava, Philip S. Yu:
Community Detection with Prior Knowledge. SDM 2013: 405-413 - [i3]Karthik Subbian, Ayush Singhal, Tamara G. Kolda, Ali Pinar, Jaideep Srivastava:
On Reciprocity in Massively Multi-player Online Game Networks. CoRR abs/1303.6385 (2013) - 2012
- [c8]Arvind Agarwal, Hema Raghavan, Karthik Subbian, Prem Melville, Richard D. Lawrence, David Gondek, James Fan:
Learning to rank for robust question answering. CIKM 2012: 833-842 - [c7]John Z. Sun, Kush R. Varshney, Karthik Subbian:
Dynamic matrix factorization: A state space approach. ICASSP 2012: 1897-1900 - [c6]Charu C. Aggarwal, Karthik Subbian:
Event Detection in Social Streams. SDM 2012: 624-635 - 2011
- [c5]Karthik Subbian, Prem Melville:
Supervised Rank Aggregation for Predicting Influencers in Twitter. SocialCom/PASSAT 2011: 661-665 - [i2]Karthik Subbian, Prem Melville:
Supervised Rank Aggregation for Predicting Influence in Networks. CoRR abs/1108.4801 (2011) - [i1]John Z. Sun, Kush R. Varshney, Karthik Subbian:
Dynamic Matrix Factorization: A State Space Approach. CoRR abs/1110.2098 (2011)
2000 – 2009
- 2009
- [c4]Ramakrishnan Kannan, Dinesh Garg, Karthik Subbian, Y. Narahari:
Nash Bargaining Based Ad Networks for Sponsored Search Auctions. CEC 2009: 170-175 - 2008
- [c3]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: 1007-1012 - 2007
- [c2]Karthik Subbian, Ramakrishnan Kannan, Raghav Kumar Gautam, Y. Narahari:
Incentive Compatible Mechanisms for Group Ticket Allocation in Software Maintenance Services. APSEC 2007: 270-277 - [c1]Karthik Subbian, Y. Narahari:
Truth Eliciting Mechanisms for Trouble Ticket Allocation in Software Maintenance Services. SEKE 2007: 355-
Coauthor Index
Edward W. Huang
aka: Eddie W. Huang
aka: Eddie W. Huang
Nikhil Rao 0001
aka: Nikhil S. Rao
aka: Nikhil S. Rao
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