Node Classification On Roman Empire
Metriken
Accuracy (% )
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy (% ) |
|---|---|
| polynormer-polynomial-expressive-graph | 92.55±0.37 |
| holonets-spectral-convolutions-do-extend-to | 92.24±0.43 |
| mixture-of-experts-meets-decoupled-message | 87.29±0.60 |
| hyperaggregation-aggregating-over-graph-edges | 92.27±0.57 |
| mixture-of-experts-meets-decoupled-message | 85.05±0.55 |
| mixture-of-experts-meets-decoupled-message | 86.00±0.45 |
| classic-gnns-are-strong-baselines-reassessing | 91.27±0.20 |