BioERP: biomedical heterogeneous network-based self-supervised representation learning approach for entity relationship predictions.
Journal:
Bioinformatics (Oxford, England)
Published Date:
Dec 11, 2021
Abstract
MOTIVATION: Predicting entity relationship can greatly benefit important biomedical problems. Recently, a large amount of biomedical heterogeneous networks (BioHNs) are generated and offer opportunities for developing network-based learning approaches to predict relationships among entities. However, current researches slightly explored BioHNs-based self-supervised representation learning methods, and are hard to simultaneously capturing local- and global-level association information among entities.