Hierarchical Multi-Relational Graph Representation Learning for
Large-Scale Prediction of Drug-Drug Interactions
Hierarchical Multi-Relational Graph Representation Learning for
Large-Scale Prediction of Drug-Drug Interactions
Most existing methods for predicting drug-drug interactions (DDI) predominantly concentrate on capturing the explicit relationships among drugs, overlooking the valuable implicit correlations present between drug pairs (DPs), which leads to weak predictions. To address this issue, this paper introduces a hierarchical multi-relational graph representation learning (HMGRL) approach. Within the framework …