From: GCMM: graph convolution network based on multimodal attention mechanism for drug repurposing
 | Auc | Aupr | F1 | ACC | Recall | Precision | Specificity |
---|---|---|---|---|---|---|---|
GCMM | 0.9013 | 0.9131 | 0.8160 | 0.8155 | 0.8167 | 0.8139 | 0.8105 |
DeepDR | 0.8574 | 0.8810 | 0.7844 | 0.7705 | 0.8174 | 0.7539 | 0.8860 |
NeoDTI | 0.7501 | 0.7531 | 0.7149 | 0.6804 | 0.8015 | 0.6452 | 0.9908 |
LAGCN | 0.8367 | 0.8470 | 0.7643 | 0.7521 | 0.8100 | 0.7495 | 0.9878 |
NIMGCN | 0.7784 | 0.7807 | 0.7287 | 0.7064 | 0.7888 | 0.6772 | 0.9921 |