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Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation

, , , , , , and . Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, page 94–102. New York, NY, USA, Association for Computing Machinery, (Feb 15, 2022)
DOI: 10.1145/3488560.3498419

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Hyperbolic Graph Representation Learning: A Tutorial., , , and . CoRR, (2022)Spatial non-local attention for thoracic disease diagnosis and visualisation in weakly supervised learning., , and . IET Image Process., 13 (11): 1922-1930 (2019)FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding., , and . ICDM, page 731-740. IEEE, (2020)BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction., , , , , and . SIGIR, page 2053-2058. ACM, (2022)Modeling Scale-free Graphs for Knowledge-aware Recommendation., , , , , , and . CoRR, (2021)Application of Big Data Complexity Analysis Hedging Operation of Derivative Financial Products., , , , and . Complex., (2021)κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning., , , and . KDD, page 2965-2977. ACM, (2023)Hyperbolic Graph Neural Networks: A Tutorial on Methods and Applications., , , , and . KDD, page 5843-5844. ACM, (2023)Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space., , , , and . KDD, page 1975-1985. ACM, (2021)Hyperbolic Temporal Network Embedding., , , and . IEEE Trans. Knowl. Data Eng., 35 (11): 11489-11502 (November 2023)