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Application of graph neural network and feature information enhancement in relation inference of sparse knowledge graph

Hai-Tao Jia Bo-Yang Zhang Chao Huang Wen-Han Li Wen-Bo Xu Yu-Feng Bi Li Ren

电子科技学刊2023，Vol.21Issue(2)：44-54,11.

电子科技学刊2023，Vol.21Issue(2)：44-54,11.DOI:10.1016/j.jnlest.2023.100194

Application of graph neural network and feature information enhancement in relation inference of sparse knowledge graph

Hai-Tao Jia ¹Bo-Yang Zhang ²Chao Huang ²Wen-Han Li ³Wen-Bo Xu ¹Yu-Feng Bi ²Li Ren⁴

作者信息

1. School of Resources and Environment,University of Electronic Science and Technology of China,Chengdu,611731,China||Yangtze Delta Region Institute(Huzhou),University of Electronic Science and Technology of China,Huzhou,313001,China
2. School of Resources and Environment,University of Electronic Science and Technology of China,Chengdu,611731,China
3. Sichuan Jiuqiang Communication Technology Co.Ltd.,Mianyang,621000,China
4. School of Marxism,University of Electronic Science and Technology of China,Chengdu,611731,China
折叠

摘要

关键词

Feature information enhancement/Graph neural network/Natural language processing/Sparse knowledge graph(KG) inference

Key words

Feature information enhancement/Graph neural network/Natural language processing/Sparse knowledge graph(KG) inference

引用本文复制引用

Hai-Tao Jia,Bo-Yang Zhang,Chao Huang,Wen-Han Li,Wen-Bo Xu,Yu-Feng Bi,Li Ren..Application of graph neural network and feature information enhancement in relation inference of sparse knowledge graph[J].电子科技学刊,2023,21(2):44-54,11.

基金项目

This work was supported by the Sichuan Science and Technology Program under Grants No.2022YFQ0052 and No.2021YFQ0009. （）

电子科技学刊

OACSCD

ISSN：1674-862X

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