• Media type: E-Article
  • Title: Unsupervised Correlation- and Interaction-Aware Anomaly Detection for Cyber-Physical Production Systems based on Graph Neural Networks
  • Contributor: Goetz, Christian; Humm, Bernhard G.
  • Published: Elsevier BV, 2024
  • Published in: Procedia Computer Science, 232 (2024), Seite 2057-2071
  • Language: English
  • DOI: 10.1016/j.procs.2024.02.028
  • ISSN: 1877-0509
  • Origination:
  • Footnote:
  • Access State: Open Access