Hyper-SAGNN-E
Reported on 5 benchmarks across 1 task · 1 paper · 3 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Graphs5 results
- AUC· 2019-11-06SOTA0.89
- AUC· 2019-11-06SOTA0.9520000000000001
- AUPR· 2019-11-06SOTA0.7979999999999999
- AUPR· 2019-11-060.705best: 0.706 (Hyper-SAGNN-W)
- AUPR· 2019-11-060.7929999999999999best: 0.81 (Hyper-SAGNN-W)