Graph Clustering on EEE
0.992AccuracyMAGI
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MAGIMethod Category=Deep learning and random-walk methods, Inference Type=End-to-end clustering2026.02 | 0.992 | 0.93 | 0.966 | |
| mWDKMethod Category=Optimization-free (OpF) methods2026.02 | 0.992 | 0.93 | 0.966 | |
| NDLSMethod Category=Deep learning and random-walk methods, Approach=Optimization-free (OpF)2026.02 | 0.991 | 0.93 | 0.964 | |
| PANEMethod Category=Deep learning and random-walk methods2026.02 | 0.991 | 0.93 | 0.964 | |
| WDKMethod Category=Optimization-free (OpF) methods2026.02 | 0.99 | 0.919 | 0.96 | |
| AGCMethod Category=Optimization-free (OpF) methods2026.02 | 0.988 | 0.913 | 0.953 | |
| GSNNMethod Category=Deep learning and random-walk methods, Approach=Optimization-free (OpF)2026.02 | 0.985 | 0.891 | 0.939 | |
| WLMethod Category=Optimization-free (OpF) methods2026.02 | 0.985 | 0.891 | 0.941 | |
| DAEGCMethod Category=Deep learning and random-walk methods, Inference Type=End-to-end clustering2026.02 | 0.984 | 0.891 | 0.935 | |
| GSNNMethod Category=Deep learning and random-walk methods, Approach=GAE2026.02 | 0.977 | 0.851 | 0.91 | |
| NDLSMethod Category=Deep learning and random-walk methods, Approach=GAE2026.02 | 0.976 | 0.86 | 0.916 | |
| GAEMethod Category=Deep learning and random-walk methods2026.02 | 0.938 | 0.675 | 0.767 |