Graph Classification On Neuron Multi
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| WKPI-kmeans | 56.2 | Learning metrics for persistence-based summaries and applications for graph classification | - |
| PI-PL | 44.3 | Persistence Images: A Stable Vector Representation of Persistent Homology | - |
| PWGK | 45.5 | Kernel method for persistence diagrams via kernel embedding and weight factor | - |
| WKPI-kcenters | 69.1 | Learning metrics for persistence-based summaries and applications for graph classification | - |
| SW | 57.3 | Sliced Wasserstein Kernel for Persistence Diagrams | - |
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