Spatio-Temporal Graph Neural Networks for Anomaly Detection in Complex Industrial Processes
- DOI
- 10.3390/s26051597
- Published
- 2026-03-04
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26051597,
title = {Spatio-Temporal Graph Neural Networks for Anomaly Detection in Complex Industrial Processes},
author = {Shutian Zhao and Hang Zhang and Bei Sun and Yijun Wang},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26051597},
url = {https://doi.org/10.3390/s26051597}
}RIS
TY - JOUR TI - Spatio-Temporal Graph Neural Networks for Anomaly Detection in Complex Industrial Processes AU - Shutian Zhao AU - Hang Zhang AU - Bei Sun AU - Yijun Wang PY - 2026 JO - Sensors DO - 10.3390/s26051597 UR - https://doi.org/10.3390/s26051597 ER -
APA
Zhao, S., Zhang, H., Sun, B., & Wang, Y. (2026). Spatio-Temporal Graph Neural Networks for Anomaly Detection in Complex Industrial Processes. Sensors. https://doi.org/10.3390/s26051597
Source records
- crossref · retrieved 2026-11-08T17:47:24.683Z