Graph Classification On Neuron Average

Accuracy

Résultats

Résultats de performance de divers modèles sur ce benchmark

		Paper Title
WKPI-kcenters	77.80	Learning metrics for persistence-based summaries and applications for graph classification
WKPI-kmeans	73.50	Learning metrics for persistence-based summaries and applications for graph classification
SW	71.20	Sliced Wasserstein Kernel for Persistence Diagrams
PI-PL	64.20	Persistence Images: A Stable Vector Representation of Persistent Homology
PWGK	62.80	Kernel method for persistence diagrams via kernel embedding and weight factor

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