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Representation Learning on Graphs: Methods and Applications

, , и . (2017)cite arxiv:1709.05584Comment: Published in the IEEE Data Engineering Bulletin, September 2017; version with minor corrections.

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Ying Ying

Jianping Ying

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Haoyuan Ying

Li Ying

 

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How Powerful is Implicit Denoising in Graph Neural Networks., , , , , и . CoRR, (2022)Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks., и . PKDD/ECML Workshops (1), том 1524 из Communications in Computer and Information Science, стр. 238-257. Springer, (2021)Representation Learning on Graphs: Methods and Applications, , и . arXiv:1709.05584 cs, (апреля 2018)arXiv: 1709.05584.Neural Execution of Graph Algorithms., , , , и . ICLR, OpenReview.net, (2020)Hyperbolic Graph Topic Modeling Network with Continuously Updated Topic Tree., , и . KDD, стр. 3206-3216. ACM, (2023)Adversarially Robust Neural Architecture Search for Graph Neural Networks., , , , , , , и . CVPR, стр. 8143-8152. IEEE, (2023)HiPool: Modeling Long Documents Using Graph Neural Networks., , , и . ACL (2), стр. 161-171. Association for Computational Linguistics, (2023)Redundancy-Free Computation for Graph Neural Networks., , , , , и . KDD, стр. 997-1005. ACM, (2020)Hypformer: Exploring Efficient Hyperbolic Transformer Fully in Hyperbolic Space., , , , , и . CoRR, (2024)TrustLLM: Trustworthiness in Large Language Models., , , , , , , , , и 56 other автор(ы). CoRR, (2024)