Distribution Learning on QM9
67.3UniquenessPS-VAE
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| PS-VAEvocabulary=principal subgraph vocabulary2021.06 | 67.3 | 52.3 | 0.921 | 0.659 | |
| GraphDF2021.06 | 67.2 | 67.2 | 0.601 | 0.137 | |
| MARS2021.06 | 65.9 | 61.2 | 0.547 | 0.123 | |
| H-VAE*vocabulary=principal subgraph vocabulary2021.06 | 61.9 | 48.7 | 0.869 | 0.588 | |
| JT-VAE2021.06 | 54.9 | 38.6 | 0.891 | 0.588 | |
| GCPN2021.06 | 53.3 | 32 | 0.552 | 0.174 | |
| GraphAF2021.06 | 50 | 45.3 | 0.761 | 0.326 | |
| F-VAE*vocabulary=principal subgraph vocabulary2021.06 | 46.6 | 40 | 0.889 | 0.49 | |
| HierVAE2021.06 | 41.6 | 28.5 | 0.802 | 0.426 | |
| GA2021.06 | 0.8 | 0.8 | 0.429 | 0.004 |