FedGNN
Reported on 5 benchmarks across 1 task · 1 paper · 2 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Knowledge Base5 results
- RMSE· 2021-02-09SOTA0.92best: 0.91 (FedPerGNN)
- RMSE· 2021-02-09SOTA0.989best: 0.845 (GRALS)
- RMSE· 2021-02-090.848best: 0.8227 (GLocal-K)
- RMSE· 2021-02-090.803best: 0.7485 (Bayesian timeSVD++ flipped)
- RMSE· 2021-02-090.79best: 0.6911 (I-CFN)