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Link Prediction On Gdelt

Métriques

MRR

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
MRR
Paper TitleRepository
DistMult0.196RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion-
TTransE0.115RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion-
DE-SimplE0.23RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion-
RotateQVS0.27RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion-
TA-DistMult0.206RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion-
SPA0.36Search to Pass Messages for Temporal Knowledge Graph Completion
TeRo0.245RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion-
RotateQVS-Small0.259RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion-
TeRo-Large0.256RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion-
TransE0.113RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion-
TLT-KGE(Quaternion)0.358Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion
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