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InfoResearchPeer-reviewed
TGDIP: Two-Stage Graph Information Maximization for Drug–Drug Interaction Prediction
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Summary
TGDIP is a two-stage graph information maximization model for drug–drug interaction prediction. It targets two problems in GNN-based methods: homogenized drug features and redundant drug-pair features. Experiments on three public datasets are reported as validating its effectiveness.