Node Classification on Wisconsin Cross-domain
68.75AccuracySPG
Evaluation results
| Method | Links | |
|---|---|---|
| SPGmodel_category=Graph Foundation Models2026.06 | 68.75 | |
| GraphAnymodel_category=Graph Foundation Models2026.06 | 61.99 | |
| GraphMAE2model_category=Self-supervised Pre-training2026.06 | 56.12 | |
| SPGShots=1-shot, Model Category=Graph Foundation Models2026.06 | 52.81 | |
| GCOPEmodel_category=Graph Foundation Models2026.06 | 52.04 | |
| SAMGPTmodel_category=Graph Foundation Models2026.06 | 49.47 | |
| TIGmodel_category=Graph Foundation Models2026.06 | 47.51 | |
| BGRLmodel_category=Self-supervised Pre-training2026.06 | 46.87 | |
| GraphGluemodel_category=Graph Foundation Models2026.06 | 46.76 | |
| GRACEmodel_category=Self-supervised Pre-training2026.06 | 43.28 | |
| GCOPEShots=1-shot, Model Category=Graph Foundation Models2026.06 | 37.25 | |
| GraphGlueShots=1-shot, Model Category=Graph Foundation Models2026.06 | 36.17 | |
| GraphMAE2Shots=1-shot, Model Category=Self-supervised Pre-training2026.06 | 33.61 | |
| SAMGPTShots=1-shot, Model Category=Graph Foundation Models2026.06 | 32.19 | |
| TIGShots=1-shot, Model Category=Graph Foundation Models2026.06 | 31.01 | |
| GRACEShots=1-shot, Model Category=Self-supervised Pre-training2026.06 | 23.5 | |
| GraphAnyShots=1-shot, Model Category=Graph Foundation Models2026.06 | 23.32 | |
| BGRLShots=1-shot, Model Category=Self-supervised Pre-training2026.06 | 22.36 |