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A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions.

, , , , , , , , , , and . Trans. Recomm. Syst., 1 (1): 1-51 (March 2023)

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LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting., , , , , , , and . CoRR, (2023)TWIN: TWo-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou., , , , , , , , , and 1 other author(s). KDD, page 3785-3794. ACM, (2023)When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation., , , , and . SIGIR, page 1632-1641. ACM, (2022)LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting., , , , , , , and . WSDM, page 28-37. ACM, (2024)Bundle Recommendation and Generation With Graph Neural Networks., , , , and . IEEE Trans. Knowl. Data Eng., 35 (3): 2326-2340 (March 2023)Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System., , , , , , , and . CIKM, page 4787-4793. ACM, (2023)Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework., , , , , , , , and . CIKM, page 4952-4959. ACM, (2023)Bundle Recommendation with Graph Convolutional Networks., , , , and . SIGIR, page 1673-1676. ACM, (2020)Mixed Attention Network for Cross-domain Sequential Recommendation., , , , , , , , , and 1 other author(s). WSDM, page 405-413. ACM, (2024)Inverse Learning with Extremely Sparse Feedback for Recommendation., , , , , , , , , and 1 other author(s). WSDM, page 396-404. ACM, (2024)