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-AC02-06CH11357doi 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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