Synthetic Network Generation on YouTube
0.38Eigenvalue MMDSyNG-D
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| SyNG-Destimator=MLP2026.05 | 0.38 | 3.89 | 1.62 | 1.58 | |
| CELL2026.05 | 2.17 | 0 | 0.62 | 3.4 | |
| SyNG-D2026.05 | 2.61 | 2.13 | — | — | |
| SyNG-Destimator=tree-based2026.05 | 2.61 | 2.13 | 0.97 | 2.28 | |
| EDGE2026.05 | 4.44 | 7.84 | 0.79 | 14.4 | |
| SyNG-R2026.05 | 4.47 | 1.1 | — | — | |
| SyNG-R2026.05 | 4.47 | 1.1 | 1.11 | 2.23 | |
| BTER2026.05 | 6.42 | 0 | 0.02 | 9.7 | |
| GRAN2026.05 | 7.88 | 7.86 | 1.13 | 10.1 | |
| HiGen2026.05 | 16 | 0.05 | — | — | |
| VGAE2026.05 | 17.2 | 27.83 | 0.56 | 8 | |
| mKPGM2026.05 | 22.38 | 44.86 | 1.03 | 16 | |
| GraphMaker2026.05 | 23.13 | 64.99 | 1.12 | 16.7 | |
| E-R2026.05 | 25.96 | 69.22 | 1.05 | 16.3 |