Multi-Faults Location Based on Knowledge Graphs and Gated Graph Neural Network in Optical Networks
The method based on small-scale knowledge graphs and gated graph neural network is proposed to identify multiple faults simultaneously. Experimental results show that accuracy is above 98% and the convergence speed is 9 times faster. © 2024 The Author(s)
Authors
- H.Q. Wang
- Qian Hu (ORCID: https://orcid.org/0000-0002-8675-9637)
- Jie Liu (ORCID: https://orcid.org/0000-0002-1327-1315)
- Fan Yang (ORCID: https://orcid.org/0000-0002-6844-2521)
- Xia Gao (ORCID: https://orcid.org/0000-0003-1740-2949)
- Jing Wang (ORCID: https://orcid.org/0000-0001-5875-4049)
- Luming Liu (ORCID: https://orcid.org/0000-0003-3217-7460)
- Di Lhu
- Jiling Liu
- Xin Qin
- Yinuo Wu
Institutions
- China Telecom (China) (CN)
- China Telecom (CN)
Publication Details
- Published
- 2024-08-04
- DOI
- https://doi.org/10.1109/cleo-pr60912.2024.10676446
- Citations
- 1
- Primary Topic
- Advanced Computing and Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 1.96