Workflow Anomaly Detection with Graph Neural Networks. Jin, H., Raghavan, K., Papadimitriou, G., Wang, C., Mandal, A., Krawczuk, P., Pottier, L., Kiran, M., Deelman, E., & Balaprakash, P. In 2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS), pages 35-42, 2022. Funding Acknowledgments: DOE DE-SC0022328, DE-AC02-06CH11357
doi  bibtex   
@InProceedings{	  jin-works-2022,
  Author	= {Jin, Hongwei and Raghavan, Krishnan and Papadimitriou,
		  George and Wang, Cong and Mandal, Anirban and Krawczuk,
		  Patrycja and Pottier, Loïc and Kiran, Mariam and Deelman,
		  Ewa and Balaprakash, Prasanna},
  BookTitle	= {2022 IEEE/ACM Workshop on Workflows in Support of
		  Large-Scale Science (WORKS)},
  Title		= {Workflow Anomaly Detection with Graph Neural Networks},
  Year		= {2022},
  Volume	= {},
  Number	= {},
  Pages		= {35-42},
  DOI		= {10.1109/WORKS56498.2022.00010},
  Note		= {Funding Acknowledgments: DOE DE-SC0022328,
		  DE-AC02-06CH11357}
}

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