Multi-label Classification on Peptides-func (test)
0.6575APViT-PS
Evaluation results
| Method | Links | |
|---|---|---|
| ViT-PSbase model=ViT-Base, pre-training=ImageNet-21k, equivariant distribution=3-layer GIN2023.06 | 0.6575 | |
| GraphGPS2023.06 | 0.6535 | |
| Exphormer2023.06 | 0.6527 | |
| SAN+RWSE2023.06 | 0.6439 | |
| SAN+LapPE2023.06 | 0.6384 | |
| Transformer+LapPE2023.06 | 0.6326 | |
| GatedGCN+RWSE2023.06 | 0.6069 | |
| GCN2023.06 | 0.593 | |
| GatedGCN2023.06 | 0.5864 | |
| GCNII2023.06 | 0.5543 | |
| GINE2023.06 | 0.5498 |