Asymmetric Drug-Drug Interaction Prediction Based on Generative Adversarial Networks and Knowledge Graph.

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Bibliographic Details
Title: Asymmetric Drug-Drug Interaction Prediction Based on Generative Adversarial Networks and Knowledge Graph.
Authors: Yan C; School of Computer and Information Engineering, Henan University, Kaifeng, China., Li Q; School of Computer and Information Engineering, Henan University, Kaifeng, China., Luo J; School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China., Wang J; School of Computer and Information Engineering, Henan University, Kaifeng, China., Zhang G; School of Computer and Information Engineering, Henan University, Kaifeng, China., Luo H; School of Computer and Information Engineering, Henan University, Kaifeng, China.
Source: Journal of computational biology : a journal of computational molecular cell biology [J Comput Biol] 2026 Jul; Vol. 33 (7), pp. 717-732. Date of Electronic Publication: 2026 May 28.
Publication Type: Journal Article
Journal Info: Publisher: Mary Ann Liebert, Inc Country of Publication: United States NLM ID: 9433358 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1557-8666 (Electronic) Linking ISSN: 10665277 NLM ISO Abbreviation: J Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1557-8666
DOI:10.1177/15578666261443345