Table 2.
Compare the Performance of GCN with other different traditional methods.
Performance metrics | AUC |
AUPRC |
Accuracy |
Kappa |
Evaluation method | ||||
---|---|---|---|---|---|---|---|---|---|
mean | std | mean | std | mean | std | mean | std | ||
GCN | 0.892 | 0.008 | 0.794 | 0.015 | 0.919 | 0.018 | 0.584 | 0.031 | 10-fold CV (Negative sampling) |
DNN (adjacency) | 0.752 | 0.052 | 0.691 | 0.029 | 0.882 | 0.029 | 0.541 | 0.021 | 10-fold CV |
DNN (physiochemical) | 0.811 | 0.021 | 0.666 | 0.041 | 0.833 | 0.045 | 0.486 | 0.044 | 10-fold CV |
SVM | 0.762 | 0.072 | 0.682 | 0.13 | 0.872 | 0.059 | 0.514 | 0.14 | 10-fold CV |
EN | 0.741 | 0.059 | 0.522 | 0.09 | 0.881 | 0.051 | 0.531 | 0.062 | 10-fold CV |
RF | 0.779 | 0.054 | 0.534 | 0.043 | 0.873 | 0.043 | 0.522 | 0.056 | 10-fold CV |