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On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering.

, , , , , , , and . KDD, page 602-613. ACM, (2023)

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An Adaptive Multi-Homogeneous Sensor Weight Calculation Method for Body Sensor Networks., , , , and . IEEE Access, (2019)Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture., , , and . CIKM, page 2389-2396. ACM, (2020)TableSense: Spreadsheet Table Detection with Convolutional Neural Networks., , , , and . CoRR, (2021)Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective., , , , , and . CoRR, (2021)Evaluating and Enhancing Structural Understanding Capabilities of Large Language Models on Tables via Input Designs., , , , and . CoRR, (2023)XInsight: eXplainable Data Analysis Through The Lens of Causality., , , , and . Proc. ACM Manag. Data, 1 (2): 156:1-156:27 (2023)ML4S: Learning Causal Skeleton from Vicinal Graphs., , , , , , and . KDD, page 1213-1223. ACM, (2022)Effective Decoding in Graph Auto-Encoder Using Triadic Closure., , and . AAAI, page 906-913. AAAI Press, (2020)Revisiting Code Search in a Two-Stage Paradigm., , , , , , and . WSDM, page 994-1002. ACM, (2023)Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study., , , , and . WSDM, page 645-654. ACM, (2024)