Node Classification On Coco Sp
Metrics
macro F1
Results
Performance results of various models on this benchmark
Model Name | macro F1 | Paper Title | Repository |
|---|---|---|---|
| GatedGCN+ | 0.3802 ± 0.0015 | - | - |
| GatedGCN | 0.2641±0.0045 | - | - |
| GatedGCN+LapPE | 0.2574±0.0034 | - | - |
| GatedGCN-tuned | 0.2922±0.0018 | - | - |
| GCN | 0.0841±0.0010 | - | - |
| GPS | 0.3412±0.0044 | - | - |
| GINE | 0.1339±0.0044 | - | - |
| GatedGCN-HSG | 0.3535±0.0032 | - | - |
| GINE-tuned | 0.2125±0.0009 | - | - |
| Exphormer | 0.343±0.0008 | - | - |
| NeuralWalker | 0.4398 ± 0.0033 | - | - |
| SAN+RWSE | 0.2434±0.0156 | - | - |
| Transformer+LapPE | 0.2618±0.0031 | - | - |
| SAN+LapPE | 0.2592±0.0158 | - | - |
| GCNII | 0.1404±0.0011 | - | - |
| GPS-tuned | 0.3884±0.0055 | - | - |
| GCN-tuned | 0.1338±0.0007 | - | - |
0 of 17 row(s) selected.