Node Classification On Cora 3
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| GraphSAGE | 64.2% | - | - |
| VCHN | 83.1% | - | - |
| Truncated Krylov | 81.92% | - | - |
| CPF-tra-GCNII | 84.18% | - | - |
| GCN-FP | 71.7% | - | - |
| MT-GCN | 78.5% | - | - |
| GAT | 56.8% | - | - |
| AdaLanczosNet | 77.7 ± 2.4 | - | - |
| LanczosNet | 76.3 ± 2.3 | - | - |
| GGNN | 73.1% | - | - |
| ChebyNet | 62.1% | - | - |
| Snowball (linear + tanh) | 79.52% | - | - |
| Snowball (linear) | 80.96% | - | - |
| Snowball (tanh) | 80.72% | - | - |
| DCNN | 76.7% | - | - |
0 of 15 row(s) selected.