Hypergraph Generation on Synthetic Hypergraph N=800, M=800
0.0179RMSE MeanHYVINT
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| HYVINTLatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.0179 | 0.0084 | |
| HYGENELatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.0187 | 0.01 | |
| DDELatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.0196 | 0.0109 | |
| DDEN=800, M=800, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.0211 | 0.0092 | |
| HYGENEN=800, M=800, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.024 | 0.0089 | |
| HYVINTN=800, M=800, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.0261 | 0.0086 | |
| Ber-DiffN=800, M=800, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.054 | 0.0052 | |
| Gau-DiffN=800, M=800, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.0965 | 0.0042 | |
| Gau-DiffLatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.1307 | 0.0295 | |
| Ber-DiffLatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.1582 | 0.0183 | |
| NMF-DiffLatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.3493 | 0.0111 | |
| NMF-DiffN=800, M=800, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.4343 | 0.0111 |