Graph Classification On Neuron Binary

Accuracy

Résultats

Résultats de performance de divers modèles sur ce benchmark

		Paper Title
WKPI-kmeans	90.3	Learning metrics for persistence-based summaries and applications for graph classification
WKPI-kcenters	86.5	Learning metrics for persistence-based summaries and applications for graph classification
SW	85.1	Sliced Wasserstein Kernel for Persistence Diagrams
PI-PL	84.1	Persistence Images: A Stable Vector Representation of Persistent Homology
PWGK	80.1	Kernel method for persistence diagrams via kernel embedding and weight factor

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