Article

selfRL: Two-Level Self-Supervised Transformer Representation Learning for Link Prediction of Heterogeneous Biomedical Networks

2020-10-21

Abstract excerpt

Predicting potential links in heterogeneous biomedical networks (HBNs) can greatly benefit various important biomedical problem. However, the self-supervised representation learning for link prediction in HBNs has been slightly explored in previous researches. Therefore, this study proposes a two-level self-supervised representation learning, namely selfRL, for link prediction in heterogeneous biomedical networks....

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Literature Corpus work: 733fc59c-6fcd-5f42-b794-88a3edda6606
DOI: 10.1101/2020.10.20.347153

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