An asymmetric focal loss function improves graph neural network DDI prediction on TWOSIDES, increasing accuracy from 0.699 to 0.892 without architectural changes.
Drug -Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional -Lstm Network
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Asymmetric Focal Loss Improves Graph Neural Network Prediction of Drug-Drug Interactions
An asymmetric focal loss function improves graph neural network DDI prediction on TWOSIDES, increasing accuracy from 0.699 to 0.892 without architectural changes.