Multi-Modal Knowledge Graph with Large Language Model for Intelligent Fault Management in Optical Networks
We propose a multi-modal knowledge graph with large language model for intelligent fault management in optical networks. Demonstrations of two real-world cases validate its capability to utilize multi-modal data and facilitate intelligent reasoning.
Authors
- Zhuming Bi (ORCID: https://orcid.org/0000-0002-8145-7883)
- Danshi Wang (ORCID: https://orcid.org/0000-0001-9815-4013)
- Jinbiao Xiong (ORCID: https://orcid.org/0000-0002-2005-0211)
- Min Zhang (ORCID: https://orcid.org/0000-0001-5842-9107)
- Chunyu Zhang (ORCID: https://orcid.org/0009-0001-4302-039X)
- Yanlin Fan
- Xunjie Jiang
- Weijie Yang
Institutions
- Beijing University of Posts and Telecommunications (CN)
- State Key Laboratory of Information Photonics and Optical Communications
- China United Network Communications Group (China) (CN)
Publication Details
- Published
- 2024-11-02
- DOI
- https://doi.org/10.1109/acp/ipoc63121.2024.10809842
- Citations
- 1
- Primary Topic
- Advanced Graph Neural Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.35