Node Classification On Amz Computers
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| extract-the-knowledge-of-graph-neural | 85.5% |
| towards-deeper-graph-neural-networks | 84.5 ± 1.2 |
| clarify-confused-nodes-through-separated | 90.81 ± 0.46 |
| clarify-confused-nodes-through-separated | 90.43 ± 0.72 |
| graph-less-neural-networks-teaching-old-mlps-1 | 83.03± 1.87% |