TriGCN: Graph Convolution Network Based on Tripartite Graph for Personalized Medicine Recommendation System

Intelligent medical systems have great potential to play an important role in people’s daily lives, as they can provide disease and medicine information immediately for both doctors and patients. Graph-structured data are attracting more and more attention in the artificial intelligence sector. Comb...

詳細記述

書誌詳細

出版年:	Systems
主要な著者:	Huan Zhou, Sisi Liao, Fanying Guo
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2024-09-01
主題:	tripartite graph graph convolutional network recommender system medicine recommendation
オンライン･アクセス:	https://www.mdpi.com/2079-8954/12/10/398