Node Classification On Amazon Ratings
Metriken
Accuracy (%)
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy (%) |
|---|---|
| classic-gnns-are-strong-baselines-reassessing | 53.80 ± 0.60 |
| polynormer-polynomial-expressive-graph | 54.81 ± 0.49 |
| classic-gnns-are-strong-baselines-reassessing | 55.40 ± 0.21 |
| classic-gnns-are-strong-baselines-reassessing | 55.54 ± 0.51 |