Hypergraph Generation on Synthetic Hypergraph N=800, M=200
0.0364RMSE MeanHYVINT
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| HYVINTLatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.0364 | 0.0132 | |
| HYGENEN=800, M=200, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.042 | 0.0158 | |
| HYGENELatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.0423 | 0.018 | |
| DDEN=800, M=200, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.0435 | 0.0171 | |
| HYVINTN=800, M=200, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.0448 | 0.0131 | |
| Ber-DiffN=800, M=200, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.0461 | 0.0078 | |
| DDELatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.0496 | 0.0203 | |
| Ber-DiffLatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.0857 | 0.0149 | |
| Gau-DiffN=800, M=200, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.1003 | 0.0065 | |
| Gau-DiffLatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.1495 | 0.0386 | |
| NMF-DiffLatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.3505 | 0.0212 | |
| NMF-DiffN=800, M=200, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.4359 | 0.0195 |