Node Classification On Citeseer Full
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| ASGCN | 79.66% | - | - |
| GraphSAGE | 71.40% | - | - |
| GCNII* | 77.13% | - | - |
| IncepGCN+DropEdge | 80.50% | - | - |
| Graph ESN | 74.5±2.1 | - | - |
| FDGATII | 75.6434% | - | - |
| FastGCN | 77.60% | - | - |
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