Node Classification on MAG240M OGB-LSC (val)
70.74AccuracyGraphormer + URPE-based Attention
Evaluation results
| Method | Links | |
|---|---|---|
| Graphormer + URPE-based AttentionNumber of Parameters=11.0M2022.05 | 70.74 | |
| GraphormerNumber of Parameters=11.0M2022.05 | 70.13 | |
| R-GATNumber of Parameters=13.3M2022.05 | 70.02 | |
| R-GraphSAGENumber of Parameters=12.2M2022.05 | 69.86 | |
| GATNumber of Parameters=4.9M2022.05 | 67.15 | |
| MLP+C&SNumber of Parameters=0.5M2022.05 | 66.98 | |
| GraphSAGENumber of Parameters=4.9M2022.05 | 66.79 | |
| SIGNNumber of Parameters=3.8M2022.05 | 66.64 | |
| SGCNumber of Parameters=0.7M2022.05 | 65.82 | |
| LabelPropNumber of Parameters=02022.05 | 58.44 | |
| MLPNumber of Parameters=0.5M2022.05 | 52.67 |