Hypergraph Generation on Synthetic Hypergraph N=200, M=800
0.0171RMSE MeanHYVINT
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| HYVINTLatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.0171 | 0.0089 | |
| HYGENELatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.0212 | 0.0104 | |
| DDEN=200, M=800, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.0218 | 0.0092 | |
| DDELatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.023 | 0.0114 | |
| HYGENEN=200, M=800, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.0305 | 0.0094 | |
| HYVINTN=200, M=800, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.0345 | 0.0095 | |
| Gau-DiffLatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.0671 | 0.0094 | |
| Ber-DiffN=200, M=800, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.0841 | 0.0103 | |
| Gau-DiffN=200, M=800, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.0882 | 0.0062 | |
| Ber-DiffLatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.1652 | 0.0212 | |
| NMF-DiffLatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.3536 | 0.0126 | |
| NMF-DiffN=200, M=800, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.4365 | 0.0153 |