Text-Graph Enhanced Knowledge Graph Representation Learning

Text-Graph Enhanced Knowledge Graph Representation Learning

Knowledge Graphs (KGs) such as Freebase and YAGO have been widely adopted in a variety of NLP tasks. Representation learning of Knowledge Graphs (KGs) aims to map entities and relationships into a continuous low-dimensional vector space. Conventional KG embedding methods (such as TransE and ConvE) u...

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Bibliographic Details
Main Authors: Linmei Hu, Mengmei Zhang, Shaohua Li, Jinghan Shi, Chuan Shi, Cheng Yang, Zhiyuan Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Artificial Intelligence
Subjects:
knowledge graph
graph neural networks
representation learning
graph
structure sparsity
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2021.697856/full

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https://www.frontiersin.org/articles/10.3389/frai.2021.697856/full

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