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1 Ergebnisse
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Guest Editorial: Deep Neural Networks for Graphs: Theory, M..:
Li, M
;
Micheli, A
;
Wang, YG
...
IEEE Transactions on Neural Networks and Learning Systems. , 2024
Link:
https://hdl.handle.net/10072/430456
RT Journal T1 <Title>Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftgriffithuniv:oai:research-repository.griffith.edu.au:10072_430456&Exemplar=1&LAN=DE A1 Li, M A1 Micheli, A A1 Wang, YG A1 Pan, S A1 Lio, P A1 Gnecco, GS A1 Sanguineti, M PB Institute of Electrical and Electronics Engineers (IEEE) YR 2024 JF IEEE Transactions on Neural Networks and Learning Systems LK http://dx.doi.org/https://hdl.handle.net/10072/430456 DO https://hdl.handle.net/10072/430456 SF ELIB - SuUB Bremen
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