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Models/JoBi ComplEx

JoBi ComplEx

Reported on 8 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Graphs8 results

Link Predictionon FB15k
Hits@1· 2019-10-25
0.681
best: 0.8 (QuatE)
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets arXiv:1910.11583
Link Predictionon FB15k
Hits@10· 2019-10-25
0.883
best: 0.914 (AutoKGE)
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets arXiv:1910.11583
Link Predictionon FB15k
Hits@3· 2019-10-25
0.824
best: 0.859 (QuatE)
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets arXiv:1910.11583
Link Predictionon FB15k
MRR· 2019-10-25
0.761
best: 0.861 (AutoKGE)
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets arXiv:1910.11583
Link PredictiononFB15k-237
Hits@1· 2019-10-25
0.199
best: 0.321 (NBFNet)
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets arXiv:1910.11583
Link PredictiononFB15k-237
Hits@10· 2019-10-25
0.479
best: 0.599 (NBFNet)
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets arXiv:1910.11583
Link PredictiononFB15k-237
Hits@3· 2019-10-25
0.319
best: 0.454 (NBFNet)
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets arXiv:1910.11583
Link PredictiononFB15k-237
MRR· 2019-10-25
0.29
best: 0.415 (NBFNet)
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets arXiv:1910.11583