QuatE-D replaces the inner-product scoring of QuatE with Euclidean distance after a quaternion Hamilton-product rotation, and reports improved Mean Rank on WN18, FB15k, WN18RR, and FB15k-237.
Collaborative knowledge base embedding for recommender systems,
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QuatE-D: A Distance-Based Quaternion Model for Knowledge Graph Embedding
QuatE-D replaces the inner-product scoring of QuatE with Euclidean distance after a quaternion Hamilton-product rotation, and reports improved Mean Rank on WN18, FB15k, WN18RR, and FB15k-237.