Rule-Guided Compositional Representation Learning on Knowledge Graphs with Hierarchical Types
The representation learning of the knowledge graph projects the entities and relationships in the triples into a low-dimensional continuous vector space. Early representation learning mostly focused on the information contained in the triplet itself but ignored other useful information. Since entiti...
Main Authors: | Yanying Mao, Honghui Chen |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-08-01
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Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/9/16/1978 |
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