Node Classification on Computers Cross-domain
88.85AccuracySPG
Evaluation results
| Method | Links | |
|---|---|---|
| SPGmodel_category=Graph Foundation Models2026.06 | 88.85 | |
| TIGmodel_category=Graph Foundation Models2026.06 | 87.66 | |
| BGRLmodel_category=Self-supervised Pre-training2026.06 | 87.42 | |
| GraphAnymodel_category=Graph Foundation Models2026.06 | 86.38 | |
| GraphGluemodel_category=Graph Foundation Models2026.06 | 83.91 | |
| GRACEmodel_category=Self-supervised Pre-training2026.06 | 83.23 | |
| GraphMAE2model_category=Self-supervised Pre-training2026.06 | 79.81 | |
| SAMGPTmodel_category=Graph Foundation Models2026.06 | 78.57 | |
| GCOPEmodel_category=Graph Foundation Models2026.06 | 75.04 |