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iGRLDTI: an improved graph representation learning method for predicting drug-target interactions over heterogeneous biological information network.

, , , , , and . Bioinform., (August 2023)

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MRLDTI: A Meta-path-Based Representation Learning Model for Drug-Target Interaction Prediction., , , , , , , and . ICIC (2), volume 13394 of Lecture Notes in Computer Science, page 451-459. Springer, (2022)A Unified Deep Biological Sequence Representation Learning with Pretrained Encoder-Decoder Model., , , , and . ICIC (2), volume 12464 of Lecture Notes in Computer Science, page 339-347. Springer, (2020)Attention-based Knowledge Graph Representation Learning for Predicting Drug-drug Interactions., , , , and . Briefings Bioinform., (2022)Predicting Drug-Target Interactions Over Heterogeneous Information Network., , , , and . IEEE J. Biomed. Health Informatics, 27 (1): 562-572 (2023)SANE: A sequence combined attentive network embedding model for COVID-19 drug repositioning., , , , , , and . Appl. Soft Comput., (2021)Protein-Protein Interaction Prediction by Integrating Sequence Information and Heterogeneous Network Representation., , , , and . ICIC (3), volume 12838 of Lecture Notes in Computer Science, page 617-626. Springer, (2021)Prediction of LncRNA-Disease Associations Based on Network Representation Learning., , and . BIBM, page 1805-1812. IEEE, (2020)A machine learning framework based on multi-source feature fusion for circRNA-disease association prediction., , , , , , and . Briefings Bioinform., (2022)Incorporating higher order network structures to improve miRNA-disease association prediction based on functional modularity., , , , , and . Briefings Bioinform., (January 2023)A deep learning method for repurposing antiviral drugs against new viruses via multi-view nonnegative matrix factorization and its application to SARS-CoV-2., , , , , and . Briefings Bioinform., (2022)