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1 Ergebnisse
1
Multi-Scale Variational Graph AutoEncoder for Graph Disenta..:
, In:
2023 IEEE 18th Conference on Industrial Electronics and Applications (ICIEA)
,
Bao, Shu-Di
;
Liu, Wenzhen
;
Zhou, Guoqiang
- p. 1238-1243 , 2023
Link:
https://doi.org/10.1109/ICIEA58696.2023.10241499
RT T1 <cTitle>2023 IEEE 18th Conference on Industrial Electronics and Applications (ICIEA)</cTitle>: T1 <Title>Multi-Scale Variational Graph AutoEncoder for Graph Disentanglement Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10241499&Exemplar=1&LAN=DE A1 Bao, Shu-Di A1 Liu, Wenzhen A1 Zhou, Guoqiang YR 2023 SN 2158-2297 K1 Measurement K1 Biological system modeling K1 Self-supervised learning K1 Logic gates K1 Feature extraction K1 Decoding K1 Convolutional neural networks K1 graph convolutional neural network K1 graph autoencoder K1 self-supervised learning K1 graph disentangled learning SP 1238 OP 1243 LK http://dx.doi.org/https://doi.org/10.1109/ICIEA58696.2023.10241499 DO https://doi.org/10.1109/ICIEA58696.2023.10241499 SF ELIB - SuUB Bremen
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