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A Demonstration of Interpretability Methods for Graph Neura..:
, In:
Proceedings of the 6th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)
,
Bonabi Mobaraki, Ehsan
;
Khan, Arijit
- p. 1-5 , 2023
Link:
https://dl.acm.org/doi/10.1145/3594778.3594880
RT T1 <cTitle>Proceedings of the 6th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)</cTitle>: T1 <Title>A Demonstration of Interpretability Methods for Graph Neural Networks</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3594880&Exemplar=1&LAN=DE A1 Bonabi Mobaraki, Ehsan A1 Khan, Arijit PB ACM YR 2023 K1 graph neural network K1 interpretability K1 explainable AI K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Information systems K1 Data management systems K1 Database design and models K1 Graph-based database models K1 Network data models SP 1 OP 5 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3594778.3594880 DO https://dl.acm.org/doi/10.1145/3594778.3594880 SF ELIB - SuUB Bremen
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