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Research map / Graph learning / Knowledge and temporal graphs

Dual Quaternion Knowledge Graph Embeddings

AAAI 2021 · Graph learning › Knowledge and temporal graphs · approach: Knowledge graph embeddings · 160 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use quaternion relational rotation instead of complex-plane rotationQuatE vs. a-RotatE · WN18RRMRR: 0.476 -> 0.488Helped
Use quaternion relational rotation instead of complex-plane rotationQuatE vs. a-RotatE · FB15K-237MRR: 0.338 -> 0.348Helped
Add N3 regularization and reciprocal learning (ablation)QuatE · FB15KMRR: 0.770 -> 0.833Helped
Add N3 regularization and reciprocal learning (ablation)QuatE · FB15K-237MRR: 0.311 -> 0.366Helped
Add relation-quaternion normalization (ablation)QuatE · WN18MRR: 0.936 -> 0.950Helped
Add relation-quaternion normalization (ablation)QuatE · FB15KMRR: 0.686 -> 0.782Helped
Replace relational rotation with W_r · (Q_h ⊗ Q_t) (ablation)QuatE · FB15KMRR: 0.782 -> 0.599Hurt
Replace relational rotation with W_r · (Q_h ⊗ Q_t) (ablation)QuatE · WN18MRR: 0.950 -> 0.784Hurt
Add a relation quaternion rotation to the tail entity (ablation)QuatE · WN18RRMRR: 0.488 -> 0.477No clear effect
Add a relation quaternion rotation to the tail entity (ablation)QuatE · FB15K-237MRR: 0.348 -> 0.344No clear effect
Extend quaternion embeddings to octonion embeddingsQuatE · WN18MRR: 0.950 -> 0.950No clear effect
Extend quaternion embeddings to octonion embeddingsQuatE · WN18RRMRR: 0.488 -> 0.486No clear effect

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