四元数
嵌入
关系(数据库)
数学
图形
计算机科学
人工智能
组合数学
几何学
数据挖掘
作者
Dai Quoc Nguyen,Thanh Vu,Tu Dinh Nguyen,Dinh Phung
标识
DOI:10.1145/3487553.3524251
摘要
We propose a simple yet effective embedding model to learn quaternion embeddings for entities and relations in knowledge graphs. Our model aims to enhance correlations between head and tail entities given a relation within the Quaternion space with Hamilton product. The model achieves this goal by further associating each relation with two relation-aware rotations, which are used to rotate quaternion embeddings of the head and tail entities, respectively. Experimental results show that our proposed model produces state-of-the-art performances on well-known benchmark datasets for knowledge graph completion. Our code is available at: https://github.com/daiquocnguyen/QuatRE.
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