Node Classification On Coauthor Physics
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| GNNMoE(GCN-like P) | 97.03±0.13 | - | - |
| LinkDist | 96.87% | - | - |
| CoLinkDist | 97.05% | - | - |
| Exphormer | 96.89±0.09% | - | - |
| GNNMoE(SAGE-like P) | 96.81±0.22 | - | - |
| DAGNN (Ours) | 94 | - | - |
| GCN | 97.46 ± 0.10 | - | - |
| 3ference | 97.22% | - | - |
| GraphMix (GCN) | 94.49 ± 0.84 | - | - |
| CoLinkDistMLP | 96.87% | - | - |
| LinkDistMLP | 96.91% | - | - |
| GNNMoE(GAT-like P) | 97.05±0.19 | - | - |
| NCSAGE | 98.69 ± 0.26 | - | - |
| NCGCN | 98.63 ± 0.24 | - | - |
0 of 14 row(s) selected.