Link Prediction On Nell 995
Metrics
Hits@1
Hits@10
MRR
Results
Performance results of various models on this benchmark
Model Name | Hits@1 | Hits@10 | MRR | Paper Title | Repository |
|---|---|---|---|---|---|
| CoPER-ConvE | .7215 | .8835 | .7868 | Contextual Parameter Generation for Knowledge Graph Link Prediction | |
| Prob-CBR | 0.77 | 0.89 | 0.81 | Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion | - |
| RL | - | - | - | DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning | - |
| Meta-KGR (ConvE) | 0.197 | 0.347 | 0.253 | Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations | - |
0 of 4 row(s) selected.