Physics-guided contrastive temporal graph learning for anomaly detection and root-cause localization in industrial control systems.

Rajalakshmi M, Velmurugan T

DOI: 10.1038/s41598-026-45677-w
Published: 2026 Apr 6
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-45677-w,
  title = {Physics-guided contrastive temporal graph learning for anomaly detection and root-cause localization in industrial control systems.},
  author = {Rajalakshmi M and Velmurugan T},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-45677-w},
  url = {https://doi.org/10.1038/s41598-026-45677-w}
}

RIS

TY  - JOUR
TI  - Physics-guided contrastive temporal graph learning for anomaly detection and root-cause localization in industrial control systems.
AU  - Rajalakshmi M
AU  - Velmurugan T
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-45677-w
UR  - https://doi.org/10.1038/s41598-026-45677-w
ER  -

APA

M, R., & T, V. (2026). Physics-guided contrastive temporal graph learning for anomaly detection and root-cause localization in industrial control systems.. Scientific reports. https://doi.org/10.1038/s41598-026-45677-w

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pubmed · retrieved 2026-09-25T22:22:52.470Z