TransET: Knowledge Graph Embedding with Entity Types

TransET: Knowledge Graph Embedding with Entity Types

Knowledge graph embedding aims to embed entities and relations into low-dimensional vector spaces. Most existing methods only focus on triple facts in knowledge graphs. In addition, models based on translation or distance measurement cannot fully represent complex relations. As well-constructed prio...

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Bibliographic Details
Main Authors: Peng Wang, Jing Zhou, Yuzhang Liu, Xingchen Zhou
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Electronics
Subjects:
knowledge graph embedding
entity type
circular convolution
Online Access:https://www.mdpi.com/2079-9292/10/12/1407

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