{"id":47746,"date":"2024-01-17T18:06:58","date_gmt":"2024-01-17T10:06:58","guid":{"rendered":"https:\/\/swarma.org\/?p=47746"},"modified":"2024-01-17T18:06:58","modified_gmt":"2024-01-17T10:06:58","slug":"%e6%8b%93%e6%89%91%e5%87%a0%e4%bd%95%e5%a2%9e%e5%bc%ba%e5%8c%96%e5%ad%a6%e5%88%86%e5%ad%90%e6%a8%a1%e5%9e%8b%ef%bd%9c%e5%91%a8%e4%ba%94%e7%9b%b4%e6%92%ad%c2%b7%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=47746","title":{"rendered":"\u62d3\u6251\u51e0\u4f55\u589e\u5f3a\u5316\u5b66\u5206\u5b50\u6a21\u578b\uff5c\u5468\u4e94\u76f4\u64ad\u00b7\u4eba\u5de5\u667a\u80fd\u4e0e\u6570\u5b66\u8bfb\u4e66\u4f1a"},"content":{"rendered":"
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\u5206\u4eab\u7b80\u4ecb<\/span><\/strong><\/section>\n
\u8bba\u6587\u89e3\u8bfb\uff1aWen LF et al. Hyperbolic Graph Diffusion Model[J]. AAAI 2024, arXiv preprint arXiv:<\/span>2306.07618<\/span>, 2023.<\/span><\/section>\n
Chen YL et al. Curvature-based Transformer for Molecular Property Prediction[J]. arXiv preprint arXiv:2307.13275, 2023.<\/span><\/section>\n

Jiang Y et al. Topological representations of crystalline compounds for the machine-learning prediction of materials properties, npj computational materials, 2021<\/span><\/p>\n


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      Robin Forman. Bochner\u2019s method for cell complexes and combinatorial Ricci curvature. Discrete and Computational Geometry, 29(3):323\u2013374, 2003.<\/span><\/p>\n

      A. Gu, F. Sala, B. Gunel, and C R\u00e9. Learning mixed-curvature representations in product spaces. In International Conference on Learning Representations, 2018.<\/span><\/p>\n

      C. Ying, T. Cai, S. Luo, S. Zheng, and T. Y. Liu. Do transformers really perform bad for graph representation? 2021.<\/span><\/p>\n

      Song Y, Sohl-Dickstein J, Kingma D P, et al. Score-based generative modeling through stochastic differential equations[J]. arXiv preprint arXiv:2011.13456, 2020.<\/span><\/p>\n

      Jo J, Lee S, Hwang S J. Score-based generative modeling of graphs via the system of stochastic differential equations[C]\/\/International Conference on Machine Learning. PMLR, 2022: 10362-10383.<\/span><\/p>\n

      Yang M, Li Z, Zhou M, et al. Hicf: Hyperbolic informative collaborative filtering[C]\/\/Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2022: 2212-2221.<\/span><\/p>\n


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