基于知识图和图神经网络的光网络故障定位论证

Zhuotong Li, Yongli Zhao, Yajie Li, Sabidur Rahman, Xiaosong Yu, Jie Zhang
{"title":"基于知识图和图神经网络的光网络故障定位论证","authors":"Zhuotong Li, Yongli Zhao, Yajie Li, Sabidur Rahman, Xiaosong Yu, Jie Zhang","doi":"10.1364/ofc.2020.th1f.5","DOIUrl":null,"url":null,"abstract":"A fault localization method for optical networks using knowledge graph and graph neural network is proposed. Experimental demonstration shows that the proposed method is effective in automating the localizing of optical network faults.","PeriodicalId":173355,"journal":{"name":"2020 Optical Fiber Communications Conference and Exhibition (OFC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Demonstration of Fault Localization in Optical Networks Based on Knowledge Graph and Graph Neural Network\",\"authors\":\"Zhuotong Li, Yongli Zhao, Yajie Li, Sabidur Rahman, Xiaosong Yu, Jie Zhang\",\"doi\":\"10.1364/ofc.2020.th1f.5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A fault localization method for optical networks using knowledge graph and graph neural network is proposed. Experimental demonstration shows that the proposed method is effective in automating the localizing of optical network faults.\",\"PeriodicalId\":173355,\"journal\":{\"name\":\"2020 Optical Fiber Communications Conference and Exhibition (OFC)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Optical Fiber Communications Conference and Exhibition (OFC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/ofc.2020.th1f.5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Optical Fiber Communications Conference and Exhibition (OFC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/ofc.2020.th1f.5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13

摘要

提出了一种基于知识图和图神经网络的光网络故障定位方法。实验证明,该方法能有效地实现光网络故障的自动定位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Demonstration of Fault Localization in Optical Networks Based on Knowledge Graph and Graph Neural Network
A fault localization method for optical networks using knowledge graph and graph neural network is proposed. Experimental demonstration shows that the proposed method is effective in automating the localizing of optical network faults.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信