M²DDI: A Unified Framework for Dynamic Multimodal Fusion in Drug-Drug Interaction Prediction
Empirical evaluation and robustness experiments show that M2DDI maintains high predictive accuracy even when modality-specific information is partially missing, outperforming existing methods under similar conditions and establish M2DDI as an effective and mechanism-aware solution for comprehensive DDI prediction.