A microbe–drug association prediction model based on graph attention networks and rotation forest
GATROF provides a new integrated predictive framework for predicting potential microbe–drug associations by combining heterogeneous biological information, GAT-based topological representation learning, and Rotation Forest classification, and may help prioritize candidate drug–microbe associations for further biologica...