no code implementations • 16 Apr 2024 • Jinhui Yuan, Shan Lu, Peibo Duan, Jieyue He
Recently, heterogeneous graph neural networks (HGNNs) have achieved impressive success in representation learning by capturing long-range dependencies and heterogeneity at the node level.
no code implementations • 29 Jan 2024 • Lingning Song, Yi Zu, Shan Lu, Jieyue He
Answering complex logical queries on incomplete knowledge graphs (KGs) is a fundamental and challenging task in multi-hop reasoning.
no code implementations • 29 Nov 2023 • Hua Pu, Jiacong Mi, Shan Lu, Jieyue He
Traditional Chinese medicine (TCM) prescription is the most critical form of TCM treatment, and uncovering the complex nonlinear relationship between symptoms and TCM is of great significance for clinical practice and assisting physicians in diagnosis and treatment.
no code implementations • 28 Nov 2023 • Zhuoyuan Wang, Jiacong Mi, Shan Lu, Jieyue He
An effective representation of drug molecules emerges as a pivotal component in this pursuit.
no code implementations • 6 Jul 2023 • Jiacong Mi, Yi Zu, Zhuoyuan Wang, Jieyue He
ACDNet also employs a collaborative decision framework, utilizing the similarity between medication records and medicine representation to facilitate the recommendation process.
no code implementations • 12 Jun 2020 • Jieyue He, Xinxing Yang, Zhuo Gong, lbrahim Zamit
Then a variant version of the autoencoder is used to extract the latent factor of drugs and diseases to capture the overall information shared by a majority of drug-disease associations.