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AGLGCN: Graph Convolution Recommendation Algorithm based on..:
, In:
2022 2nd International Conference on Algorithms, High Performance Computing and Artificial Intelligence (AHPCAI)
,
Cui, Shaoguo
;
Yang, Zetian
;
Wan, Haoming
. - p. 170-175 , 2022
Link:
https://doi.org/10.1109/AHPCAI57455.2022.10087496
RT T1
2022 2nd International Conference on Algorithms, High Performance Computing and Artificial Intelligence (AHPCAI)
: T1
AGLGCN: Graph Convolution Recommendation Algorithm based on Multi-Head Attention and Gated Recurrent Unit
UL https://suche.suub.uni-bremen.de/peid=ieee-10087496&Exemplar=1&LAN=DE A1 Cui, Shaoguo A1 Yang, Zetian A1 Wan, Haoming A1 Liu, Haokun YR 2022 K1 Convolution K1 Computational modeling K1 High performance computing K1 Neural networks K1 Logic gates K1 Feature extraction K1 Data models K1 LightGCN K1 graph convolution recommendation K1 multi-head attention K1 GRU SP 170 OP 175 LK http://dx.doi.org/https://doi.org/10.1109/AHPCAI57455.2022.10087496 DO https://doi.org/10.1109/AHPCAI57455.2022.10087496 SF ELIB - SuUB Bremen
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