Hyperedge prediction on drug non-k-uniform (test)
96.1AUCHyper-SAGNN-E
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Hyper-SAGNN-Etraining_data=hyperedges only2019.11 | 96.1 | 89.5 | |
| Hyper-SAGNN-E (mix)training_data=mixture of edges and hyper-edges2019.11 | 95.6 | 88.7 | |
| Hyper-SAGNN-Wtraining_data=hyperedges only2019.11 | 95.5 | 89.2 | |
| Hyper-SAGNN-W (mix)training_data=mixture of edges and hyper-edges2019.11 | 95 | 88.9 | |
| DHNE2019.11 | 92.5 | 85.9 | |
| node2vec minAggregation strategy=min2019.11 | 68.4 | 25.8 | |
| node2vec - meanAggregation strategy=mean2019.11 | 67 | 24.6 |