Node Classification On Pubmed Full Supervised
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| GraphSAGE | 87.1% | - | - |
| FDGATII | 90.3524% | - | - |
| ASGCN | 90.6% | - | - |
| GCNII* | 90.30% | - | - |
| Graph ESN | 89.2±0.3 | - | - |
| FastGCN | 88.00% | - | - |
| GraphSAGE+DropEdge | 91.70% | - | - |
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