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Models/DistMult

DistMult

Reported on 18 benchmarks across 2 tasks · 3 papers · 10 SOTA

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

Graphs18 results

Link PredictiononUMLS
Hits@10· 2014-12-20
0.846
best: 1 (LP-BERT)
SOTA
Embedding Entities and Relations for Learning and Inference in Knowledge Bases arXiv:1412.6575
Link PredictiononUMLS
MR· 2014-12-20
5.52
SOTA
Embedding Entities and Relations for Learning and Inference in Knowledge Bases arXiv:1412.6575
Link PredictiononWN18
Hits@1· 2014-12-20
0.728
best: 0.953 (Inverse Model)
SOTA
Embedding Entities and Relations for Learning and Inference in Knowledge Bases arXiv:1412.6575
Link PredictiononWN18
Hits@10· 2014-12-20
0.936
best: 0.964 (Inverse Model)
SOTA
Embedding Entities and Relations for Learning and Inference in Knowledge Bases arXiv:1412.6575
Link PredictiononWN18
Hits@3· 2014-12-20
0.914
best: 0.964 (Inverse Model)
SOTA
Embedding Entities and Relations for Learning and Inference in Knowledge Bases arXiv:1412.6575
Link PredictiononWN18
MR· 2014-12-20
902
best: 1072 (ComplEx NSCaching)
SOTA
Embedding Entities and Relations for Learning and Inference in Knowledge Bases arXiv:1412.6575
Link PredictiononWN18
MRR· 2014-12-20
0.822
best: 0.963 (Inverse Model)
SOTA
Embedding Entities and Relations for Learning and Inference in Knowledge Bases arXiv:1412.6575
Link PredictiononFB15k-237
Hits@10· 2014-12-20
0.419
best: 0.599 (NBFNet)
SOTA
Embedding Entities and Relations for Learning and Inference in Knowledge Bases arXiv:1412.6575
Link PredictiononFB15k-237
MRR· 2014-12-20
0.241
best: 0.415 (NBFNet)
SOTA
Embedding Entities and Relations for Learning and Inference in Knowledge Bases arXiv:1412.6575
Link Property Predictiononogbl-biokg
Number of params· 2014-12-20
187648000
best: 849427106 (RelEns)
SOTA
Embedding Entities and Relations for Learning and Inference in Knowledge Bases arXiv:1412.6575
Link PredictiononICEWS05-15
MRR· 2022-03-15
0.456
best: 0.713 (SPA)
RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion arXiv:2203.07993
Link PredictiononGDELT
MRR· 2022-03-15
0.196
best: 0.36 (SPA)
RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion arXiv:2203.07993
Link PredictiononICEWS14
MRR· 2022-03-15
0.439
best: 0.658 (SPA)
RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion arXiv:2203.07993
Link PredictiononWikidata5M
Hits@1· 2019-11-13
0.208
best: 0.435 (MoCoKGC)
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation arXiv:1911.06136
Link PredictiononWikidata5M
Hits@10· 2019-11-13
0.334
best: 0.591 (MoCoKGC)
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation arXiv:1911.06136
Link PredictiononWikidata5M
Hits@3· 2019-11-13
0.278
best: 0.517 (MoCoKGC)
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation arXiv:1911.06136
Link PredictiononWikidata5M
MRR· 2019-11-13
0.253
best: 0.49 (MoCoKGC)
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation arXiv:1911.06136
Link PredictiononOpenBioLink
Hits@10
0.542