Node Classification On Cora 1
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| GCN-FP | 59.6% | - | - |
| GGNN | 60.5% | - | - |
| MT-GCN | 73.1% | - | - |
| Snowball (tanh) | 74.78% | - | - |
| Snowball (linear) | 73.10% | - | - |
| Snowball (linear + tanh) | 74.79% | - | - |
| AdaLanczosNet | 67.5 ± 8.7 | - | - |
| LanczosNet | 66.1 ± 8.2 | - | - |
| CPF-ind-APPNP | 80.24% | - | - |
| VHCN | 78.1% | - | - |
| ChebyNet | 44.2% | - | - |
| Truncated Krylov | 78.15% | - | - |
| GAT | 48.6% | - | - |
| GraphSAGE | 49.0% | - | - |
| DCNN | 66.4% | - | - |
0 of 15 row(s) selected.