Dual Quaternion Embeddings for Link Prediction

Dual Quaternion Embeddings for Link Prediction

The applications of knowledge graph have received much attention in the field of artificial intelligence. The quality of knowledge graphs is, however, often influenced by missing facts. To predict the missing facts, various solid transformation based models have been proposed by mapping knowledge gr...

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Bibliographic Details
Main Authors: Liming Gao, Huiling Zhu, Hankz Hankui Zhuo, Jin Xu
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Applied Sciences
Subjects:
knowledge graph embedding
link prediction
artificial intelligence
Online Access:https://www.mdpi.com/2076-3417/11/12/5572

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