KG-EIGNN: a knowledge graph based graph neural network for fault detection in industrial systems

Wen Bo, Chen Ju, Jingjing Hu, Qingyuan Yu, Yan Zhang, Changyou Zhang

Open source

DOI: 10.1038/s41598-026-42723-5
Published: 2026-05-19
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-42723-5,
  title = {KG-EIGNN: a knowledge graph based graph neural network for fault detection in industrial systems},
  author = {Wen Bo and Chen Ju and Jingjing Hu and Qingyuan Yu and Yan Zhang and Changyou Zhang},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-42723-5},
  url = {https://doi.org/10.1038/s41598-026-42723-5}
}

RIS

TY  - JOUR
TI  - KG-EIGNN: a knowledge graph based graph neural network for fault detection in industrial systems
AU  - Wen Bo
AU  - Chen Ju
AU  - Jingjing Hu
AU  - Qingyuan Yu
AU  - Yan Zhang
AU  - Changyou Zhang
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-42723-5
UR  - https://doi.org/10.1038/s41598-026-42723-5
ER  -

APA

Bo, W., Ju, C., Hu, J., Yu, Q., Zhang, Y., & Zhang, C. (2026). KG-EIGNN: a knowledge graph based graph neural network for fault detection in industrial systems. Scientific Reports. https://doi.org/10.1038/s41598-026-42723-5

Source records

crossref · retrieved 2026-09-27T10:49:17.646Z