Table 1 Comparison with graphical neural network models based on line graphs
From: A novel method for drug-target interaction prediction based on graph transformers model
Model | AUROC | AUPR |
|---|---|---|
DTI-GTN | 0.9973 ± 0.0006 | 0.9976 ± 0.0006 |
DTI-Film | 0.9956 ± 0.0007 | 0.9958 ± 0.0008 |
DTI-GAT | 0.9946 ± 0.0004 | 0.9948 ± 0.0002 |
DTI-GCN | 0.9935 ± 0.0006 | 0.9942 ± 0.0003 |
DTI-EGC | 0.9928 ± 0.0010 | 0.9945 ± 0.0003 |
DTI-RGG | 0.9811 ± 0.0028 | 0.9844 ± 0.0022 |
DTI-Hypergraph | 0.9796 ± 0.0059 | 0.9829 ± 0.0045 |