TABLE 2.
Method | AUC | AUPR | Recall | Precision | F1-score |
---|---|---|---|---|---|
BiHo-GNN | 0.950 | 0.899 | 0.919 | 0.886 | 0.902 |
LncPNet | 0.938 | 0.957 | 0.881 | 0.948 | 0.913 |
LPIGAC | 0.936 | 0.822 | 0.669 | 0.832 | 0.742 |
LPISKF | 0.909 | 0.685 | 0.623 | 0.643 | 0.633 |
RWR | 0.826 | 0.581 | 0.566 | 0.535 | 0.550 |
LPBNI | 0.852 | 0.624 | 0.634 | 0.533 | 0.579 |
Bold values are the best performance of each task.