RWRGDR: Random Walk and GraphSAGE-based Framework for Enhanced Drug Repositioning.

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Bibliographic Details
Title: RWRGDR: Random Walk and GraphSAGE-based Framework for Enhanced Drug Repositioning.
Authors: Momanyi BM; School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, 610054, China.; School of Computer Science and Engineering, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China., Temesgen SA; School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, 610054, China., Grace-Mercure BK; School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, 610054, China., Arif M; Hamad Bin Khalifa University, Doha, Qatar., Alam T; Hamad Bin Khalifa University, Doha, Qatar., Gao H; School of Computer Science and Engineering, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China., Tang LX; School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, 610054, China., Fang RQ; School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Source: Current drug targets [Curr Drug Targets] 2026 Jan 02. Date of Electronic Publication: 2026 Jan 02.
Publication Type: Journal Article
Journal Info: Publisher: Bentham Science Publishers Country of Publication: United Arab Emirates NLM ID: 100960531 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-5592 (Electronic) Linking ISSN: 13894501 NLM ISO Abbreviation: Curr Drug Targets Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-5592
DOI:10.2174/0113894501402384251121115127