selfRL: Two-Level Self-Supervised Transformer Representation Learning for Link Prediction of Heterogeneous Biomedical Networks
Xiaoqi Wang, Yaning Yang, Xiangke Liao, Lenli Li, Fei Li, Shaoliang Peng
selfRL improves link prediction in heterogeneous biomedical networks by using self-supervised learning, outperforming 25 methods and identifying drugs that inhibit cytokine storms in COVID-19.
bioRxiv · Oct 20, 2020 · PreprintBioinformatics