Hypergraph Parameter Estimation on Synthetic Hypergraph N=800, M=200 (test)
0.0395RMSE (Means)DDE
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DDELatent dimension K=8, Hyperedge heterogeneity parameters=[1, 2], Number of runs=202026.05 | 0.0395 | 0.0182 | |
| HYGENELatent dimension K=8, Hyperedge heterogeneity parameters=[1, 2], Number of runs=202026.05 | 0.0399 | 0.0149 | |
| HYVINTLatent dimension K=8, Hyperedge heterogeneity parameters=[1, 2], Number of runs=202026.05 | 0.0401 | 0.0132 | |
| Ber-DiffLatent dimension K=8, Hyperedge heterogeneity parameters=[1, 2], Number of runs=202026.05 | 0.0508 | 0.0087 | |
| Gau-DiffLatent dimension K=8, Hyperedge heterogeneity parameters=[1, 2], Number of runs=202026.05 | 0.1151 | 0.0075 | |
| NMF-DiffLatent dimension K=8, Hyperedge heterogeneity parameters=[1, 2], Number of runs=202026.05 | 0.4243 | 0.0196 |