Node Classification On Brazil Air Traffic
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| transitivity-preserving-graph-representation | 0.8 ± 0.05 |
| deeper-insights-into-graph-convolutional | 0.459 |
| inductive-representation-learning-on-large | 0.404 |
| demo-net-degree-specific-graph-neural | 0.543 ± 0.034 |
| graph-attention-networks | 0.382 |
| semi-supervised-classification-with-graph | 0.516 |
| deeper-insights-into-graph-convolutional | 0.466 |