Node Classification On Pokec
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| GloGNN++ | 83.05±0.07 | - | - |
| GCN | 86.33 ± 0.17 | - | - |
| Polynormer | 86.10±0.05 | - | - |
| NeuralWalker | 86.46 ± 0.09 | - | - |
| OptBasisGNN | 82.83±0.04 | - | - |
| Dual-Net GNN | 81.55±0.09 | - | - |
| LINKX | 82.04±0.07 | - | - |
0 of 7 row(s) selected.