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1 Ergebnisse
1
Reinforced Contrastive Graph Neural Networks (RCGNN) for An..:
, In:
2022 IEEE International Performance, Computing, and Communications Conference (IPCCC)
,
Sun, Zenan
;
Su, Jingyi
;
Jeon, Donghyun
... - p. 65-72 , 2022
Link:
https://doi.org/10.1109/IPCCC55026.2022.9894334
RT T1 <cTitle>2022 IEEE International Performance, Computing, and Communications Conference (IPCCC)</cTitle>: T1 <Title>Reinforced Contrastive Graph Neural Networks (RCGNN) for Anomaly Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9894334&Exemplar=1&LAN=DE A1 Sun, Zenan A1 Su, Jingyi A1 Jeon, Donghyun A1 Velasquez, Alvaro A1 Song, Houbing A1 Niu, Shuteng YR 2022 SN 2374-9628 K1 Representation learning K1 Adaptation models K1 Computational modeling K1 Social sciences K1 Reinforcement learning K1 Graph neural networks K1 Data models K1 Graph Neural Network K1 AutoEncoder K1 Contrastive Learning K1 Reinforcement Learning K1 Anomaly Detection SP 65 OP 72 LK http://dx.doi.org/https://doi.org/10.1109/IPCCC55026.2022.9894334 DO https://doi.org/10.1109/IPCCC55026.2022.9894334 SF ELIB - SuUB Bremen
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