Node Classification On Cora With Public Split
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| CoLinkDistMLP | 81.19% | - | - |
| AdaLanczosNet | 80.4 ± 1.1 | - | - |
| GCN-TV | 86.3% | - | - |
| ChebyNet | 78.0% | - | - |
| GRAND | 85.4 ± 0.4 | - | - |
| GGNN | 77.6% | - | - |
| GAT | 83.0 ± 0.7% | - | - |
| OGC | 86.9% | - | - |
| Snowball (linear) | 83.26% | - | - |
| GEM | 83.05% | - | - |
| CPF-ind-APPNP | 85.3% | - | - |
| G-APPNP | 84.31% | - | - |
| GAT+PGN | 83.26 ± 0.69% | - | - |
| LinkDistMLP | 80.79% | - | - |
| DCNN | 79.7% | - | - |
| AIR-GCN | 84.7% | - | - |
| SuperGAT MX | 84.3% | - | - |
| GCN | 85.1 ± 0.7 | - | - |
| GGCM | 83.6% | - | - |
| CoLinkDist | 81.39% | - | - |
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