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Reliability of Saliency Methods Used in Graph Neural Networ..:
, In:
2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)
,
Ochoa, Juan G. Diaz
;
Mustafa, Faizan E
- p. 44-49 , 2022
Link:
https://doi.org/10.1109/3ICT56508.2022.9990761
RT T1 <cTitle>2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)</cTitle>: T1 <Title>Reliability of Saliency Methods Used in Graph Neural Network Models</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9990761&Exemplar=1&LAN=DE A1 Ochoa, Juan G. Diaz A1 Mustafa, Faizan E YR 2022 SN 2770-7466 K1 Technological innovation K1 Uncertainty K1 Computational modeling K1 Predictive models K1 Graph neural networks K1 Data models K1 Safety K1 Graph Neural Networks K1 Deep Learning K1 Saliency Methods K1 Correlation ICDs and TKs K1 Medical Processes SP 44 OP 49 LK http://dx.doi.org/https://doi.org/10.1109/3ICT56508.2022.9990761 DO https://doi.org/10.1109/3ICT56508.2022.9990761 SF ELIB - SuUB Bremen
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