OGB-Proteins Node ogbn-proteins Leaderboard
Multi-label protein-function prediction on a protein association network (132k proteins); evaluated by ROC-AUC averaged over 112 tasks. · Metric: ROC-AUC (higher is better) · 🟢 Updated 2h ago
| # | Model | ROC-AUC | Paper |
|---|---|---|---|
| 1 | LD+GAT | 0.89 | — |
| 2 | GIPA(Wide&Deep) | 0.89 | — |
| 3 | AGDN | 0.89 | — |
| 4 | RevGNN-Wide | 0.88 | — |
| 5 | GAT+BOT+NGNN | 0.88 | — |
| 6 | RevGNN-Deep | 0.88 | — |
| 7 | GAT+BoT | 0.88 | — |
| 8 | GAT + labels + node2vec | 0.87 | — |
| 9 | GIPA | 0.87 | — |
| 10 | UniMP+CrossEdgeFeat | 0.87 | — |
| 11 | GAT+EdgeFeatureAtt | 0.87 | — |
| 12 | UniMP | 0.86 | — |
| 13 | DeeperGCN+FLAG | 0.86 | — |
| 14 | DeeperGCN | 0.86 | — |
| 15 | GAT | 0.85 | — |
| 16 | DeepGCN | 0.85 | — |
| 17 | MWE-DGCN | 0.84 | — |
| 18 | GEN + FLAG + node2vec | 0.83 | — |
| 19 | DVCNN | 0.79 | — |
| 20 | GeniePath-BS | 0.78 | — |
| 21 | GaAN | 0.78 | — |
| 22 | GraphSAGE | 0.78 | — |
| 23 | GCN | 0.73 | — |
| 24 | MLP | 0.72 | — |
| 25 | Node2vec | 0.69 | — |