河南科技大学学报（自然科学版）2024，Vol.45Issue(1)：43-50,8.DOI:10.15926/j.cnki.issn1672-6871.2024.01.006
基于图卷积的云制造服务编码算法
Cloud Manufacturing Service Coding Algorithm Based on Graph Convolution
摘要
Abstract
;With the development of cloud manufacturing mode and relevant technologies,more and more service providers publish and provide cloud service business on cloud platform.How to retrieve and select suitable cloud services from massive cloud manufacturing services with similar functions and service quality is a difficult problem in the operation process of cloud platforms.This paper combines the service relationship with the quality of service,introduces the cooperative relationship in the manufacturing process into the service hash encoding,and generates the binary encoding for the manufacturing service.A cloud manufacturing service code retrieval algorithm based on graph convolution was proposed.The algorithm improves the efficiency of the algorithm by measuring the similarity between services and screening the candidate sets of services by using methods such as hamming distance.The experiment results show that the algorithm can provide customers on service platform with a good candidate set of manufacturing services accurately and effectively.关键词
云制造/图卷积/服务检索/哈希编码/深度学习Key words
cloud manufacturing/graph convolution/service retrieve/hash coding/deep learning分类
信息技术与安全科学引用本文复制引用
朱海,谭文安,郭凯..基于图卷积的云制造服务编码算法[J].河南科技大学学报（自然科学版）,2024,45(1):43-50,8.基金项目
国家自然科学基金项目(61672022,U1904186) （61672022,U1904186）
上海市研究生教育学会研究课题(ShsgeG202207) （ShsgeG202207）
河南省软科学研究项目(212400410019) （212400410019）
