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CeConP: Exploring Node Centrality for Early Routing Congest..:
, In:
2024 IEEE 15th Latin America Symposium on Circuits and Systems (LASCAS)
,
Berndt, Augusto
;
Meinhardt, Cristina
- p. 1-5 , 2024
Link:
https://doi.org/10.1109/LASCAS60203.2024.10506148
RT T1 <cTitle>2024 IEEE 15th Latin America Symposium on Circuits and Systems (LASCAS)</cTitle>: T1 <Title>CeConP: Exploring Node Centrality for Early Routing Congestion Prediction</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10506148&Exemplar=1&LAN=DE A1 Berndt, Augusto A1 Meinhardt, Cristina YR 2024 SN 2473-4667 K1 Representation learning K1 Correlation K1 Wires K1 Predictive models K1 Logic gates K1 Routing K1 Graph neural networks K1 routing congestion K1 logic synthesis K1 machine learning model K1 graph neural network K1 node centrality SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/LASCAS60203.2024.10506148 DO https://doi.org/10.1109/LASCAS60203.2024.10506148 SF ELIB - SuUB Bremen
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