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TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction., , , , , и . NeurIPS, (2022)Learning Attributed Graph Representation with Communicative Message Passing Transformer., , , , и . IJCAI, стр. 2242-2248. ijcai.org, (2021)Self-Supervised Contrastive Molecular Representation Learning with a Chemical Synthesis Knowledge Graph., , , , и . J. Chem. Inf. Model., 64 (6): 1945-1954 (2024)PharmKG: a dedicated knowledge graph benchmark for bomedical data mining., , , , , , , и . Briefings Bioinform., (июля 2021)Accurately Clustering Single-cell RNA-seq data by Capturing Structural Relations between Cells through Graph Convolutional Network., , , , и . BIBM, стр. 519-522. IEEE, (2020)Retrieval-based Knowledge Augmented Vision Language Pre-training., , , , и . ACM Multimedia, стр. 5399-5409. ACM, (2023)AlphaFold2-aware protein-DNA binding site prediction using graph transformer., , , , , и . Briefings Bioinform., (2022)Quantitative evaluation of explainable graph neural networks for molecular property prediction., , , и . Patterns, 3 (12): 100628 (2022)Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction., , , и . IJCAI, стр. 3919-3925. ijcai.org, (2022)Imputing single-cell RNA-seq data by combining graph convolution and autoencoder neural networks, , , , и . Iscience, 24 (5): 102393 (2021)