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1 Ergebnisse
1
Workflow Anomaly Detection with Graph Neural Networks:
, In:
2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS)
,
Jin, Hongwei
;
Raghavan, Krishnan
;
Papadimitriou, George
... - p. 35-42 , 2022
Link:
https://doi.org/10.1109/WORKS56498.2022.00010
RT T1
2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS)
: T1
Workflow Anomaly Detection with Graph Neural Networks
UL https://suche.suub.uni-bremen.de/peid=ieee-10023943&Exemplar=1&LAN=DE A1 Jin, Hongwei A1 Raghavan, Krishnan A1 Papadimitriou, George A1 Wang, Cong A1 Mandal, Anirban A1 Krawczuk, Patrycja A1 Pottier, Loic A1 Kiran, Mariam A1 Deelman, Ewa A1 Balaprakash, Prasanna YR 2022 K1 Directed acyclic graph K1 Runtime K1 Computational modeling K1 Machine learning K1 Graph neural networks K1 Reliability K1 Convolutional neural networks K1 Scientific workflows K1 Anomaly detection SP 35 OP 42 LK http://dx.doi.org/https://doi.org/10.1109/WORKS56498.2022.00010 DO https://doi.org/10.1109/WORKS56498.2022.00010 SF ELIB - SuUB Bremen
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