Node Classification On Minesweeper
Metriken
AUCROC
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | AUCROC |
|---|---|
| classic-gnns-are-strong-baselines-reassessing | 97.73 ± 0.73 |
| classic-gnns-are-strong-baselines-reassessing | 97.77 ± 0.62 |
| polynormer-polynomial-expressive-graph | 97.46±0.36 |
| classic-gnns-are-strong-baselines-reassessing | 97.86 ± 0.24 |