KDD 2023 - Knowledge Graph Reasoning over Entities and Numerical Values
KDD 2023 - Rethinking Homophily in Graph Contrastive Learning
KDD 2023 - Graph Learning in Physical-informed Mesh-reduced Space for Real-world Dynamic Systems
KDD 2023 - Dual-view Molecular Pre-training
KDD 2023 - VRDU: A Benchmark for Visually-rich Document Understanding
KDD 2023 - Adaptive Graph Contrastive Learning for Recommendation
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Last Updated: September 29, 2026
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Summary
Xinyue Hu, The University of Texas at Arlington. Hewen Wang, National University of Singapore. William Shiao, University of California, Riverside. Gayeong Kim, Sungkyunkwan University Presentation video - short version Numerical reasoning is inferring new facts based on ... Jaejun Lee, KAIST In a hyper-relational Gaotang Li, University of Michigan, Ann Arbor. Yuhao Yang, The University of Hong Kong. Likang Wu, University of Science and Technology of China, State Key Laboratory of Cognitive Intelligence Zero-Shot Shichao Pei, The University of Notre Dame This video presents a novel framework to alleviate the impact of the intractable ... Wen-Zhi Li, Sun Yat-sen University. Yeping Hu, Lawrence Livermore National Laboratory Dynamic systems, encompassing everything from chaotic systems to ... Jinhua Zhu, University of Science and Technology of China. Zilong Wang, University of California, San Diego - Presentation video (short version) for Yangqin Jiang, University of Hong Kong.
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