Hypergraph Generation on Synthetic Hypergraph (N=400, M=400)
0.0271RMSE (Mean)HYVINT
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| HYVINTN=400, M=400, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.0271 | 0.0108 | |
| HYGENEN=400, M=400, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.0284 | 0.0119 | |
| HYVINTLatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.0288 | 0.0137 | |
| HYGENELatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.0295 | 0.0142 | |
| DDEN=400, M=400, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.0298 | 0.0125 | |
| DDELatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.0299 | 0.0147 | |
| Gau-DiffLatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.0713 | 0.0121 | |
| Gau-DiffN=400, M=400, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.0947 | 0.0058 | |
| Ber-DiffLatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.155 | 0.0292 | |
| Ber-DiffN=400, M=400, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.1719 | 0.0077 | |
| NMF-DiffLatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.3528 | 0.0156 | |
| NMF-DiffN=400, M=400, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.4363 | 0.0157 |