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Models/TransC (bern)

TransC (bern)

Reported on 24 benchmarks across 6 tasks · 1 paper · 24 SOTA

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

Graphs8 results

Link PredictiononYAGO39K
Hits@1· 2018-11-12
0.298
SOTA
Differentiating Concepts and Instances for Knowledge Graph Embedding arXiv:1811.04588
Link PredictiononYAGO39K
Hits@10· 2018-11-12
0.698
SOTA
Differentiating Concepts and Instances for Knowledge Graph Embedding arXiv:1811.04588
Link PredictiononYAGO39K
Hits@3· 2018-11-12
0.502
SOTA
Differentiating Concepts and Instances for Knowledge Graph Embedding arXiv:1811.04588
Link PredictiononYAGO39K
MRR· 2018-11-12
0.42
SOTA
Differentiating Concepts and Instances for Knowledge Graph Embedding arXiv:1811.04588
Triple ClassificationonYAGO39K
Accuracy· 2018-11-12
93.8
SOTA
Differentiating Concepts and Instances for Knowledge Graph Embedding arXiv:1811.04588
Triple ClassificationonYAGO39K
F1-Score· 2018-11-12
93.7
SOTA
Differentiating Concepts and Instances for Knowledge Graph Embedding arXiv:1811.04588
Triple ClassificationonYAGO39K
Precision· 2018-11-12
94.8
SOTA
Differentiating Concepts and Instances for Knowledge Graph Embedding arXiv:1811.04588
Triple ClassificationonYAGO39K
Recall· 2018-11-12
92.7
SOTA
Differentiating Concepts and Instances for Knowledge Graph Embedding arXiv:1811.04588

Knowledge Base8 results

Knowledge GraphsonYAGO39K
Accuracy· 2018-11-12
93.8
SOTA
Differentiating Concepts and Instances for Knowledge Graph Embedding arXiv:1811.04588
Knowledge GraphsonYAGO39K
F1-Score· 2018-11-12
93.7
SOTA
Differentiating Concepts and Instances for Knowledge Graph Embedding arXiv:1811.04588
Knowledge GraphsonYAGO39K
Precision· 2018-11-12
94.8
SOTA
Differentiating Concepts and Instances for Knowledge Graph Embedding arXiv:1811.04588
Knowledge GraphsonYAGO39K
Recall· 2018-11-12
92.7
SOTA
Differentiating Concepts and Instances for Knowledge Graph Embedding arXiv:1811.04588
Knowledge Graph CompletiononYAGO39K
Accuracy· 2018-11-12
93.8
SOTA
Differentiating Concepts and Instances for Knowledge Graph Embedding arXiv:1811.04588
Knowledge Graph CompletiononYAGO39K
F1-Score· 2018-11-12
93.7
SOTA
Differentiating Concepts and Instances for Knowledge Graph Embedding arXiv:1811.04588
Knowledge Graph CompletiononYAGO39K
Precision· 2018-11-12
94.8
SOTA
Differentiating Concepts and Instances for Knowledge Graph Embedding arXiv:1811.04588
Knowledge Graph CompletiononYAGO39K
Recall· 2018-11-12
92.7
SOTA
Differentiating Concepts and Instances for Knowledge Graph Embedding arXiv:1811.04588

Methodology4 results

Large Language ModelonYAGO39K
Accuracy· 2018-11-12
93.8
SOTA
Differentiating Concepts and Instances for Knowledge Graph Embedding arXiv:1811.04588
Large Language ModelonYAGO39K
F1-Score· 2018-11-12
93.7
SOTA
Differentiating Concepts and Instances for Knowledge Graph Embedding arXiv:1811.04588
Large Language ModelonYAGO39K
Precision· 2018-11-12
94.8
SOTA
Differentiating Concepts and Instances for Knowledge Graph Embedding arXiv:1811.04588
Large Language ModelonYAGO39K
Recall· 2018-11-12
92.7
SOTA
Differentiating Concepts and Instances for Knowledge Graph Embedding arXiv:1811.04588

Natural Language Processing4 results

Inductive knowledge graph completiononYAGO39K
Accuracy· 2018-11-12
93.8
SOTA
Differentiating Concepts and Instances for Knowledge Graph Embedding arXiv:1811.04588
Inductive knowledge graph completiononYAGO39K
F1-Score· 2018-11-12
93.7
SOTA
Differentiating Concepts and Instances for Knowledge Graph Embedding arXiv:1811.04588
Inductive knowledge graph completiononYAGO39K
Precision· 2018-11-12
94.8
SOTA
Differentiating Concepts and Instances for Knowledge Graph Embedding arXiv:1811.04588
Inductive knowledge graph completiononYAGO39K
Recall· 2018-11-12
92.7
SOTA
Differentiating Concepts and Instances for Knowledge Graph Embedding arXiv:1811.04588