Hypergraph Generation on Synthetic Hypergraph N=200, M=200
0.0485RMSE MeanDDE
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DDELatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.0485 | 0.0103 | |
| HYGENELatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.0489 | 0.0105 | |
| HYVINTLatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.0492 | 0.0108 | |
| DDEN=200, M=200, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.0537 | 0.0176 | |
| HYGENEN=200, M=200, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.054 | 0.0155 | |
| HYVINTN=200, M=200, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.0542 | 0.0145 | |
| Gau-DiffN=200, M=200, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.0757 | 0.0099 | |
| Ber-DiffN=200, M=200, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.0897 | 0.0141 | |
| Gau-DiffLatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.1137 | 0.0183 | |
| Ber-DiffLatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.1616 | 0.023 | |
| NMF-DiffLatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.3574 | 0.0219 | |
| NMF-DiffN=200, M=200, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.4396 | 0.0222 |