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1 Ergebnisse
1
Hardware-Friendly Block Variable-Length Sampling Pruning fo..:
, In:
2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS)
,
Zhang, Jing
;
Chen, Gengsheng
;
Ke, Lingyun
... - p. 1030-1034 , 2023
Link:
https://doi.org/10.1109/MWSCAS57524.2023.10406094
RT T1 <cTitle>2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS)</cTitle>: T1 <Title>Hardware-Friendly Block Variable-Length Sampling Pruning for Graph Neural Networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10406094&Exemplar=1&LAN=DE A1 Zhang, Jing A1 Chen, Gengsheng A1 Ke, Lingyun A1 Ding, Luchang A1 Fan, Xin A1 Wu, Zehao A1 Shen, Lei A1 Cai, Chang YR 2023 SN 1558-3899 K1 Costs K1 Circuits and systems K1 Redundancy K1 Graph neural networks K1 Integrated circuit modeling K1 Hardware acceleration K1 Graph Neural Networks K1 Graph Pruning K1 Variable-length K1 Workload SP 1030 OP 1034 LK http://dx.doi.org/https://doi.org/10.1109/MWSCAS57524.2023.10406094 DO https://doi.org/10.1109/MWSCAS57524.2023.10406094 SF ELIB - SuUB Bremen
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