Hypergraph Parameter Estimation on Synthetic Hypergraph N=200, M=200 (test)
0.0357RMSE (Means)DDE
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DDELatent dimension K=8, Hyperedge heterogeneity parameters=[1, 2], Number of runs=202026.05 | 0.0357 | 0.0183 | |
| HYGENELatent dimension K=8, Hyperedge heterogeneity parameters=[1, 2], Number of runs=202026.05 | 0.0359 | 0.0155 | |
| HYVINTLatent dimension K=8, Hyperedge heterogeneity parameters=[1, 2], Number of runs=202026.05 | 0.0362 | 0.0104 | |
| Ber-DiffLatent dimension K=8, Hyperedge heterogeneity parameters=[1, 2], Number of runs=202026.05 | 0.0737 | 0.0191 | |
| Gau-DiffLatent dimension K=8, Hyperedge heterogeneity parameters=[1, 2], Number of runs=202026.05 | 0.0773 | 0.0114 | |
| NMF-DiffLatent dimension K=8, Hyperedge heterogeneity parameters=[1, 2], Number of runs=202026.05 | 0.4242 | 0.0219 |