Pre-training graph neural networks for link prediction in biomedical networks

Pre-training graph neural networks for link prediction in biomedical networks

Motivation: Graphs or networks are widely utilized to model the interactions between different entities (e.g. proteins, drugs, etc.) for biomedical applications. Predicting potential interactions/links in biomedical networks is important for understanding the pathological mechanisms of various compl...

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Bibliographic Details
Main Authors: Long, Yahui, Wu, Min, Liu, Yong, Fang, Yuan, Kwoh, Chee Keong, Chen, Jinmiao, Luo, Jiawei, Li, Xiaoli
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Computer science and engineering
Neural Networks
Biomedical Networks
Online Access:https://hdl.handle.net/10356/162781

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