Node Classification On Cora
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| GWNN | 81.6% | - | - |
| GraphScattering | 81.9% | - | - |
| GResNet(GAT) | 85.5% | - | - |
| SF-GCN | 83.3% | - | - |
| SNoRe | 82.2% | - | - |
| ACMII-GCN | 88.95% ± 1.04% | - | - |
| TDGNN | 85.35% ± 0.49% | - | - |
| CT-Layer (PE) | 83.66% | - | - |
| SEGCN | 83.5% ± 0.4% | - | - |
| Planetoid* | 75.7% | - | - |
| SDRF | 82.76±0.23% | - | - |
| LoopyNet | 82.6% | - | - |
| CNMPGNN | 88.20±1.22% | - | - |
| APPNP | 82.2% ± 1.5% | - | - |
| 3ference | 87.78% | - | - |
| GLNN | 80.54± 1.35% | - | - |
| UGT | 88.74±0.6% | - | - |
| ChebNet | 81.2% | - | - |
| DGI | 82.3 ± 0.6% | - | - |
| DifNet | 85.1% | - | - |
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