Synthetic Graph Generation on Tree Dataset
0.2678Degree SimilarityEDGE
Evaluation Results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| EDGE2026.03 | 0.2678 | 0 | 0.7357 | 0.2247 | 0.423 | 850.7 | 0 | 7.5 | 100 | 0 | |
| EDGE2026.02 | 0.2678 | 0 | 0.7357 | — | — | — | 0 | 7.5 | 100 | 0 | |
| GRAN2026.03 | 0.1884 | 0.008 | 0.0199 | 0.2751 | 0.3274 | 607 | 0 | 100 | 100 | 0 | |
| GRAN2026.02 | 0.1884 | 0.008 | 0.0199 | — | — | — | 0 | 100 | 100 | 0 | |
| GraphGen2026.03 | 0.0105 | 0 | 0 | 0.0153 | 0.0122 | 33.2 | 95 | 100 | 100 | 95 | |
| GraphGen2026.02 | 0.0105 | 0 | 0 | — | — | — | 95 | 100 | 100 | 95 | |
| G2PT2026.02 | 0.002 | 0 | 0 | — | — | — | — | — | — | 99 | |
| BwR2026.03 | 0.0016 | 0.1239 | 0.0003 | 0.048 | 0.0388 | 11.4 | 0 | 100 | 100 | 0 | |
| BwR2026.02 | 0.0016 | 0.1239 | 0.0003 | — | — | — | 0 | 100 | 100 | 0 | |
| BiGG2026.03 | 0.0014 | 0 | 0 | 0.0119 | 0.0058 | 5.2 | 100 | 87.5 | 50 | 75 | |
| BiGG2026.02 | 0.0014 | 0 | 0 | — | — | — | 100 | 87.5 | 50 | 75 | |
| Flowette2026.02 | 0.0005 | 0 | 0 | — | — | — | 100 | 100 | 100 | 100 | |
| HSpectreprotocol=one-shot2026.03 | 0.0004 | 0 | 0 | 0.008 | 0.0055 | 2.1 | 82.5 | 100 | 100 | 82.5 | |
| Graph-GRPOTraining steps=502026.03 | 0.0004 | 0 | 0 | 0.0105 | 0.0045 | 2.2 | 97.5 | 100 | 100 | 97.5 | |
| HSpectre2026.02 | 0.0004 | 0 | 0 | — | — | — | 82.5 | 100 | 100 | 82.5 | |
| DiGress2026.03 | 0.0002 | 0 | 0 | 0.0113 | 0.0043 | 1.6 | 90 | 100 | 100 | 90 | |
| DeFoG2026.03 | 0.0002 | 0 | 0 | 0.0108 | 0.0046 | 1.6 | 96.5 | 100 | 100 | 96.5 | |
| DiGress2026.02 | 0.0002 | 0 | 0 | — | — | — | 90 | 100 | 100 | 90 | |
| DeFoG2026.02 | 0.0002 | 0 | 0 | — | — | — | 96.5 | 100 | 100 | 96.5 | |
| Train set2026.03 | 0.0001 | 0 | 0 | 0.0075 | 0.003 | 1 | 100 | 100 | 0 | 0 | |
| HSpectre2026.03 | 0.0001 | 0 | 0 | 0.0117 | 0.0047 | 4 | 100 | 100 | 100 | 100 |