2024
Unleashing the Power of LLMs as Multi-Modal Encoders for Text and Graph-Structured Data.
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2024
All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks.
CoRR, 2024
AvaTaR: Optimizing LLM Agents for Tool-Assisted Knowledge Retrieval.
CoRR, 2024
Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training.
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.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Covering a Graph with Dense Subgraph Families, via Triangle-Rich Sets.
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.
Trans. Mach. Learn. Res., 2023
Letter from the Special Issue Editor.
IEEE Data Eng. Bull., 2023
Communication-Free Distributed GNN Training with Vertex Cut.
CoRR, 2023
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation.
CoRR, 2023
Search Behavior Prediction: A Hypergraph Perspective.
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.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
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.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
Self-supervised Short-text Modeling through Auxiliary Context Generation.
ACM Trans. Intell. Syst. Technol., 2022
TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks.
CoRR, 2022
Text Enriched Sparse Hyperbolic Graph Convolutional Networks.
CoRR, 2022
Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search.
CoRR, 2022
ALLIE: Active Learning on Large-scale Imbalanced Graphs.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Accepted Tutorials at The Web Conference 2022.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
ANTHEM: Attentive Hyperbolic Entity Model for Product Search.
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.
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.
Proceedings of the Learning on Graphs Conference, 2022
Learning Backward Compatible Embeddings.
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.
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.
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.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment.
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.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs.
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.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Finding Needles in Heterogeneous Haystacks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Learning Robust Models for e-Commerce Product Search.
CoRR, 2020
Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms.
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.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Scalable Feature Selection for (Multitask) Gradient Boosted Trees.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Learning Robust Models for e-Commerce Product Search.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Identifying Facet Mismatches In Search Via Micrographs.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
Do Diffusion Protocols Govern Cascade Growth?
Proceedings of the Twelfth International Conference on Web and Social Media, 2018
Learning Diffusion using Hyperparameters.
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
Mining Social Streams: Models and Applications.
IEEE Data Eng. Bull., 2017
Detecting Large Reshare Cascades in Social Networks.
Proceedings of the 26th International Conference on World Wide Web, 2017
Understanding Short-term Changes in Online Activity Sessions.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
2016
Mining Influencers Using Information Flows in Social Streams.
ACM Trans. Knowl. Discov. Data, 2016
Querying and Tracking Influencers in Social Streams.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016
Recommendations For Streaming Data.
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.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015
PLUMS: Predicting Links Using Multiple Sources.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Rare Class Detection in Networks.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
2014
Finding influencers in networks using social capital.
Soc. Netw. Anal. Min., 2014
Evolutionary Network Analysis: A Survey.
ACM Comput. Surv., 2014
Scalable Information Flow Mining in Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
2013
On Reciprocity in Massively Multi-player Online Game Networks
CoRR, 2013
Climate Multi-model Regression Using Spatial Smoothing.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
Community Detection with Prior Knowledge.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
Content-centric flow mining for influence analysis in social streams.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013
Social capital: the power of influencers in networks.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013
Dynamics of trust reciprocation in multi-relational networks.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013
2012
Event Detection in Social Streams.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
Dynamic matrix factorization: A state space approach.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Learning to rank for robust question answering.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
2011
Supervised Rank Aggregation for Predicting Influence in Networks
CoRR, 2011
Supervised Rank Aggregation for Predicting Influencers in Twitter.
Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011
2009
Nash Bargaining Based Ad Networks for Sponsored Search Auctions.
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.
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.
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.
Proceedings of the 14th Asia-Pacific Software Engineering Conference (APSEC 2007), 2007