AI RESEARCH
Enhanced Drug-drug Interaction Prediction Using Adaptive Knowledge Integration
arXiv CS.LG
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ArXi:2603.12885v1 Announce Type: new Drug-drug interaction event (DDIE) prediction is crucial for preventing adverse reactions and ensuring optimal therapeutic outcomes. However, existing methods often face challenges with imbalanced datasets, complex interaction mechanisms, and poor generalization to unknown drug combinations. To address these challenges, we propose a knowledge augmentation framework that adaptively infuses prior drug knowledge into a large language model