火力与指挥控制2025，Vol.50Issue(9)：105-111,7.DOI:10.3969/j.issn.1002-0640.2025.09.013
基于装备知识图谱的内部链接关系补全方法仿真
Simulation of Internal Link Relationships Completion Based on Equipment Knowledge Graph
范鹏 1杨启民 2李文桥2
作者信息
- 1. 中国人民解放军93209部队,北京 100085
- 2. 北京信息科技大学计算机学院,北京 100101
- 折叠
摘要
Abstract
By comprehensively analyzing the current problems of equipment knowledge graph completion and the research status at home and abroad,an internal link relationship completion method of equipment knowledge graph based on attention mechanism is proposed.To address missing attribute features and insufficient semantic information in traditional methods during the simulation process,the rich semantic information surrounding the instance nodes is learned by the graph attention model,then the convolutional network is utilized to realize the global interaction of various types of embedded representations in the graph,and the completion of the equipment link relationships is finally realized.关键词
装备知识图谱/链接关系补全/深度学习/注意力机制Key words
equipment knowledge graph/link relationship completion/deep learning/attention mechanism分类
信息技术与安全科学引用本文复制引用
范鹏,杨启民,李文桥..基于装备知识图谱的内部链接关系补全方法仿真[J].火力与指挥控制,2025,50(9):105-111,7.
