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Karthik Subbian

  1. Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search
    2022/06/14 by Chandan K. Reddy, Lluı́s Màrquez, Reddy, Chandan K. +15 · 19 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Information Retrieval and Search Behavior #Web Data Mining and Analysis
  2. AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning
    2024/06/17 by Shirley Wu, Shiyu Zhao, Wu, Shirley +17 · 34 citations
    Computer Science · #Semantic Web and Ontologies #Data Mining Algorithms and Applications
  3. STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
    2024/04/19 by Shirley Wu, Wu, Shirley, Shiyu Zhao +17 · 26 citations
    Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Library Science and Information Systems #Machine Learning (cs.LG) #Natural Language Processing Techniques
  4. Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
    2023/07/19 by Wei Jin, Jin, Wei, Haitao Mao +37 · 10 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Digital Marketing and Social Media #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Recommender Systems and Techniques #Sentiment Analysis and Opinion Mining
  5. Task-Agnostic Graph Explanations
    2022/02/16 by Yaochen Xie, Sumeet Katariya, Xie, Yaochen +11 · 3 citations
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
  6. Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods
    2021/11/08 by Wenqing Zheng, Edward W Huang, Zheng, Wenqing +9 · 3 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Recommender Systems and Techniques
  7. Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training
    2023/12/24 by Charles Dickens, Dickens, Charles, Eddie Huang +9 · 4 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG)
  8. Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation
    2023/05/17 by Jiong Zhu, Zhu, Jiong, Aishwarya Reganti +11 · 3 citations
    Computer Science · Neuroscience · #Advanced Graph Neural Networks #Brain Tumor Detection and Classification #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
  9. Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs
    2021/10/26 by Nurendra Choudhary, Nikhil Rao, Choudhary, Nurendra +7 · 2 citations
    Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Topic Modeling
  10. TuneUp: A Simple Improved Training Strategy for Graph Neural Networks
    2022/10/26 by Weihua Hu, Hu, Weihua, Kaidi Cao +9 · 1 citation
    Computer Science · Engineering · Materials Science · #Advanced Graph Neural Networks #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science
  11. You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction
    2023/02/27 by Wenqing Zheng, Zheng, Wenqing, Edward W Huang +7 · 1 citation
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI) #Text and Document Classification Technologies
  12. Do Diffusion Protocols Govern Cascade Growth?
    2018/05/18 by Justin Cheng, Cheng, Justin, Jon Kleinberg +13 · 1 citation
    Computer Science · Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Physical sciences #H.2.8 #H.5.3 #Opinion Dynamics and Social Influence #Physics and Society (physics.soc-ph) #Social Media and Politics #Social and Information Networks (cs.SI) #cs.SI #physics.soc-ph
  13. Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards
    2025/07/03 by Shirley Wu, Wu, Shirley, Parth Sarthi +23 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  14. GT2Vec: Large Language Models as Multi-Modal Encoders for Text and Graph-Structured Data
    2024/10/15 by Jia-Cheng Lin, Lin, Jiacheng, Kun Qian +20 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Semantic Web and Ontologies