An asymmetric focal loss function improves graph neural network DDI prediction on TWOSIDES, increasing accuracy from 0.699 to 0.892 without architectural changes.
Learning Phrase Representations Using Rnn Encoder –Decoder for Statistical Machine Translation
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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.