Hypergraph Generation on Synthetic Hypergraph N=200, M=400
0.0263RMSE MeanHYVINT
Evaluation results
| Method | Links | ||
|---|---|---|---|
| HYVINTN=200, M=400, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.0263 | 0.0105 | |
| HYGENEN=200, M=400, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.0281 | 0.0116 | |
| HYVINTLatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.0289 | 0.0108 | |
| DDEN=200, M=400, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.0309 | 0.0128 | |
| HYGENELatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.0314 | 0.0126 | |
| DDELatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.0345 | 0.0158 | |
| Gau-DiffN=200, M=400, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.0635 | 0.0703 | |
| Gau-DiffLatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.0789 | 0.0137 | |
| Ber-DiffN=200, M=400, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.1337 | 0.0141 | |
| Ber-DiffLatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.1682 | 0.0257 | |
| NMF-DiffLatent dimension K=4, Hyperedge heterogeneity parameters=ρi ∈ [0, 1]2026.05 | 0.3555 | 0.0163 | |
| NMF-DiffN=200, M=400, Latent dimension K=4, Hyperedge heterogeneity parameters=[1, 2], Independent runs=202026.05 | 0.4375 | 0.0179 |