Graph Distribution Classification on Random Graph Models ER, RP, RG, SBM
90AccuracyDiversity Curves
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Diversity CurvesLearning Paradigm=Unsupervised2026.05 | 90 | 0.42 | |
| Kernel WL Opt. Assig.Learning Paradigm=Unsupervised2026.05 | 90 | 0.02 | |
| NetLSDLearning Paradigm=Unsupervised2026.05 | 90 | 0.06 | |
| PH Vietoris–RipsLearning Paradigm=Unsupervised2026.05 | 78 | 0.01 | |
| Kernel Shortest PathLearning Paradigm=Unsupervised2026.05 | 77 | 0.28 | |
| FEATHERLearning Paradigm=Unsupervised2026.05 | 75 | 0.11 | |
| Spectral ZooLearning Paradigm=Unsupervised2026.05 | 72 | 0.05 | |
| TopERLearning Paradigm=Unsupervised2026.05 | 70 | 0.06 |