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Table 1 Performance of Graph-CNN on metastatic event prediction, depending on normalization

From: Explaining decisions of graph convolutional neural networks: patient-specific molecular subnetworks responsible for metastasis prediction in breast cancer

Method Std 100*AUC Accuracy, % F1-weighted, %
Graph-CNN - 82.57 ±1.25 76.07 ±1.30 75.82 ±1.33
Random Forest - 81.27 ±1.66 74.23 ±1.73 73.47 ±1.84
Graph-CNN + 82.16 ±1.25 76.18 ±1.36 75.86 ±1.35
Random Forest + 81.40 ±1.76 74.74 ±1.67 74.00 ±1.82
glmgraph + 80.88 ±1.37 75.14 ±1.30 74.73 ±1.39
  1. Std stands for standardization of features (genes)