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Table 3 Performance of model training with different weight layers, self-attention, or r-radius

From: SWnet: a deep learning model for drug response prediction from cancer genomic signatures and compound chemical structures

Weight layer Self-attention r-radius MSE \(R^2\)
Single No 1 1.0848 0.8477
Single No 2 0.9804 0.8623
Single No 3 1.0694 0.8498
Multi No 1 1.0654 0.8504
Multi No 2 1.0078 0.8585
Multi No 3 0.9767 0.8628
Multi Yes 1 1.0724 0.8495
Multi Yes 2 0.9785 0.8626
Multi Yes 3 0.9384 0.8683
Multi Yes 4 0.9917 0.8608
Multi Yes 5 1.2083 0.8304
  1. Bold values represents the result is the best performance among the models participating in the comparison