Graph-level binary classification on OGB-MOLHIV 1.0 (val)
0.8658ROC AUCGSN
Evaluation Results
| Method | Links | |
|---|---|---|
| GSNBase Architecture=GIN+VN2020.06 | 0.8658 | |
| PNA2020.06 | 0.8519 | |
| GIN+VNVirtual Node=Yes2020.06 | 0.8479 | |
| GSNBase Architecture=DGN, Vector Field=Substructures2020.06 | 0.8473 | |
| DGN + eigenvectorsVector Field=Eigenvectors2020.06 | 0.847 | |
| DeeperGCN2020.06 | 0.8427 | |
| DeeperGCN+FLAGAugmentation=FLAG2020.06 | 0.8425 | |
| P-WL2020.06 | 0.8279 | |
| PHC-GNN2020.06 | 0.8217 | |
| GCN+GraphNormNormalization=GraphNorm2020.06 | 0.7904 |