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...

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Bibliographic Details
Main Authors: Yanying Mao, Honghui Chen
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/9/16/1978

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