Graph Classification On Neuron Average
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
Modellname | Accuracy |
---|---|
kernel-method-for-persistence-diagrams-via | 62.80 |
persistence-images-a-stable-vector | 64.20 |
learning-metrics-for-persistence-based-2 | 77.80 |
learning-metrics-for-persistence-based-2 | 73.50 |
sliced-wasserstein-kernel-for-persistence | 71.20 |