From: GCMM: graph convolution network based on multimodal attention mechanism for drug repurposing
 | Auc | Aupr | F1 | ACC | Recall | Precision | Specificity |
---|---|---|---|---|---|---|---|
GCMM | 0.8920 | 0.2534 | 0.3266 | 0.9950 | 0.2597 | 0.4401 | 0.9984 |
DeepDR | 0.8433 | 0.2123 | 0.2864 | 0.9931 | 0.2151 | 0.4332 | 0.9990 |
NeoDTI | 0.7162 | 0.0717 | 0.0352 | 0.9621 | 0.1094 | 0.3048 | 0.9905 |
LAGCN | 0.8270 | 0.1710 | 0.1303 | 0.9921 | 0.2010 | 0.4295 | 0.9818 |
NIMGCN | 0.7587 | 0.1018 | 0.0718 | 0.9874 | 0.1348 | 0.3572 | 0.9818 |