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Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences.

, , , и . AAAI, стр. 12772-12780. AAAI Press, (2023)

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Ying Ying

Xiang Ying

Jianping Ying

Li Ying

Haoyuan Ying

 

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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)How Powerful is Implicit Denoising in Graph Neural Networks., , , , , и . CoRR, (2022)Hyperbolic Graph Topic Modeling Network with Continuously Updated Topic Tree., , и . KDD, стр. 3206-3216. ACM, (2023)HiPool: Modeling Long Documents Using Graph Neural Networks., , , и . ACL (2), стр. 161-171. Association for Computational Linguistics, (2023)Hypformer: Exploring Efficient Hyperbolic Transformer Fully in Hyperbolic Space., , , , , и . CoRR, (2024)Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020., , , , , , и . CoRR, (2022)Redundancy-Free Computation for Graph Neural Networks., , , , , и . KDD, стр. 997-1005. ACM, (2020)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)TrustLLM: Trustworthiness in Large Language Models., , , , , , , , , и 56 other автор(ы). CoRR, (2024)