Effective Fault Scenario Identification for Communication Networks Via Knowledge-Enhanced Graph Neural Networks-Reference-Cited by-同舟云学术

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Effective Fault Scenario Identification for Communication Networks Via Knowledge-Enhanced Graph Neural Networks

Published:2023 Issue: Volume: Page:1-16
ISSN:1536-1233
Container-title:IEEE Transactions on Mobile Computing
language:
Short-container-title:IEEE Trans. on Mobile Comput.

Author:

Zhao Haihong¹^ORCID,Yang Bo¹^ORCID,Cui Jiaxu¹^ORCID,Xing Qianli¹,Shen Jiaxing²^ORCID,Zhu Fujin³,Cao Jiannong⁴^ORCID

Affiliation:

1. Key Laboratory of Symbolic Computation and Knowledge Engineer of Ministry of Education, Jilin University, China

2. Lingnan University, Tuen Mun, Hong Kong

3. ICT P&S General Development Dept. Huawei Technologies Co., Ltd., Shenzhen, China

4. Hong Kong Polytechnic University, Hung Hom, Hong Kong

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

http://xplorestaging.ieee.org/ielx7/7755/4358975/10113753.pdf?arnumber=10113753

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Weakly Supervised Anomaly Detection via Knowledge-Data Alignment;Proceedings of the ACM Web Conference 2024;2024-05-13

2. ConfigReco: Network Configuration Recommendation with Graph Neural Networks;IEEE Network;2023

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