MORGaN: self-supervised multi-relational graph learning for drug target discovery
Martina Occhetta, Manikhandan Mudaliar, Anniek Myatt, Conrad Bessant
MORGaN is a self-supervised framework for drug target discovery that outperforms existing models by leveraging multi-omic, multi-relation gene networks and provides interpretable results.
bioRxiv · Sep 10, 2025 · PreprintBioinformatics