RippleNet
Reported on 6 benchmarks across 1 task · 1 paper · 5 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Miscellaneous6 results
- Accuracy· 2018-03-09SOTA63.2
- AUC· 2018-03-09SOTA0.921best: 0.9712 (STEC)
- Accuracy· 2018-03-09SOTA84.4
- AUC· 2018-03-09SOTA0.729best: 0.738 (KGCN-sum)
- Accuracy· 2018-03-09SOTA0.662
- AUC· 2018-03-090.678best: 0.84 (xDeepFM)