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Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer.

C. Tan, Z. Gao, L. Wu, J. Xia, J. Zheng, X. Yang, Y. Liu, B. Hu, и S. Li. AAAI, стр. 15222-15230. AAAI Press, (2024)

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Yang Yang

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Deep Graph Clustering via Dual Correlation Reduction.Y. Liu, W. Tu, S. Zhou, X. Liu, L. Song, X. Yang, и E. Zhu. AAAI, стр. 7603-7611. AAAI Press, (2022)Test-Time Training on Graphs with Large Language Models (LLMs).J. Zhang, Y. Wang, X. Yang, S. Wang, Y. Feng, Y. Shi, R. Ren, E. Zhu, и X. Liu. CoRR, (2024)DealMVC: Dual Contrastive Calibration for Multi-view Clustering.X. Yang, J. Jin, S. Wang, K. Liang, Y. Liu, Y. Wen, S. Liu, S. Zhou, X. Liu, и E. Zhu. ACM Multimedia, стр. 337-346. ACM, (2023)Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection.R. He, R. Li, Z. Han, X. Yang, и Y. Yin. ACM Multimedia, стр. 4858-4866. ACM, (2023)Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer.C. Tan, Z. Gao, L. Wu, J. Xia, J. Zheng, X. Yang, Y. Liu, B. Hu, и S. Li. AAAI, стр. 15222-15230. AAAI Press, (2024)Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering.S. Liu, J. Zhang, Y. Wen, X. Yang, S. Wang, Y. Zhang, E. Zhu, C. Tang, L. Zhao, и X. Liu. AAAI, стр. 14017-14025. AAAI Press, (2024)CONVERT: Contrastive Graph Clustering with Reliable Augmentation.X. Yang, C. Tan, Y. Liu, K. Liang, S. Wang, S. Zhou, J. Xia, S. Li, X. Liu, и E. Zhu. ACM Multimedia, стр. 319-327. ACM, (2023)Dink-Net: Neural Clustering on Large Graphs.Y. Liu, K. Liang, J. Xia, S. Zhou, X. Yang, X. Liu, и S. Li. ICML, том 202 из Proceedings of Machine Learning Research, стр. 21794-21812. PMLR, (2023)A Fully Test-time Training Framework for Semi-supervised Node Classification on Out-of-Distribution Graphs.J. Zhang, Y. Wang, X. Yang, и E. Zhu. ACM Trans. Knowl. Discov. Data, 18 (7): 172 (августа 2024)Cluster-guided Contrastive Graph Clustering Network.X. Yang, Y. Liu, S. Zhou, S. Wang, W. Tu, Q. Zheng, X. Liu, L. Fang, и E. Zhu. CoRR, (2023)

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Yang Yang

Yang Yang

Yang Yang

Yang Yang

Yang Yang

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