Node Classification On Reddit
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| shaDow-SAGE | 97.03% | - | - |
| BNS-GCN | 97.17% | - | - |
| FastGCN | 93.70% | - | - |
| EnGCN | 96.65% | - | - |
| CoFree-GNN | 97.14±0.02% | - | - |
| ASGCN | 96.27% | - | - |
| TGCL+ResNet | 81.06±1.18% | - | - |
| GraphSAGE | 94.32% | - | - |
| SSGC | 95.3 | - | - |
| SIGN | 96.60% | - | - |
| GRACE | - | - | - |
| GraphSAINT | 97.0% | - | - |
| JKNet+DropEdge | 97.02% | - | - |
| VQ-GNN (SAGE-Mean) | 94.5 ± .0024 | - | - |
| PCAPass + XGBoost | 96.26 ± 0.02% | - | - |
| shaDow-GAT | 97.13% | - | - |
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