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HCL: Improving Graph Representation with Hierarchical Contrastive Learning.

, , , , , , , , and . ISWC, volume 13489 of Lecture Notes in Computer Science, page 108-124. Springer, (2022)

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An effective self-supervised framework for learning expressive molecular global representations to drug discovery., , , , , , , , and . Briefings Bioinform., (2021)Improving drug-target affinity prediction via feature fusion and knowledge distillation., , , , , , , , , and . Briefings Bioinform., (May 2023)HCL: Improving Graph Representation with Hierarchical Contrastive Learning., , , , , , , , and . ISWC, volume 13489 of Lecture Notes in Computer Science, page 108-124. Springer, (2022)PT-ADP: A personalized privacy-preserving federated learning scheme based on transaction mechanism., , , and . Inf. Sci., (2024)TrimNet: learning molecular representation from triplet messages for biomedicine., , , , , , , and . Briefings Bioinform., (2021)An adaptive graph learning method for automated molecular interactions and properties predictions., , , , , , , , , and 4 other author(s). Nat. Mach. Intell., 4 (7): 645-651 (2022)Deep generative model for drug design from protein target sequence., , , , , , , , and . J. Cheminformatics, 15 (1): 38 (December 2023)Deep geometric representations for modeling effects of mutations on protein-protein binding affinity., , , , and . PLoS Comput. Biol., (2021)Learn molecular representations from large-scale unlabeled molecules for drug discovery., , , , , , , , and . CoRR, (2020)Simulated annealing for optimization of graphs and sequences., , , , , , , and . CoRR, (2021)