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CNN-Siam: Multimodal Siamese CNN-based deep learning approach for drug‒drug interaction prediction

DDI.ipynb: The code for the DDI task.
data.zip: Contains event.db file, which includes 572 drugs with chemical substructure(smile form), targets, enzyme and pathways.
Ranger-Optimizer: Ranger optimizer sourece codes for PyTorch.

About CNN-Siam:

  • Architecture: Siamese 1-Dimensional CNN

  • Trick:

    • Residual-connection,
    • Ranger(RAdam+LookAhead),
    • Mixup,
    • Focal-loss,
    • Sum embeddings of a pair of drug
  • Hyperparameters:

    • batch_size=256,
    • lr=1e-3,
    • weight_decay=1e-3,
    • epochs=30,
    • mixup_alpha=0.2,
    • focal_gamma=2.0,
    • Tmax=epochs

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