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1 Ergebnisse
1
Generative and Contrastive Paradigms Are Complementary for ..:
, In:
2024 IEEE 40th International Conference on Data Engineering (ICDE)
,
Wang, Yuxiang
;
Yan, Xiao
;
Hu, Chuang
... - p. 3364-3378 , 2024
Link:
https://doi.org/10.1109/ICDE60146.2024.00234
RT T1 <cTitle>2024 IEEE 40th International Conference on Data Engineering (ICDE)</cTitle>: T1 <Title>Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10597920&Exemplar=1&LAN=DE A1 Wang, Yuxiang A1 Yan, Xiao A1 Hu, Chuang A1 Xu, Quanqing A1 Yang, Chuanhui A1 Fu, Fangcheng A1 Zhang, Wentao A1 Wang, Hao A1 Du, Bo A1 Jiang, Jiawei YR 2024 SN 2375-026X K1 Smoothing methods K1 Accuracy K1 Force K1 Focusing K1 Contrastive learning K1 Reconstruction algorithms K1 Feature extraction K1 graph learning K1 self-supervised learning K1 masked autoencoder K1 contrastive learning SP 3364 OP 3378 LK http://dx.doi.org/https://doi.org/10.1109/ICDE60146.2024.00234 DO https://doi.org/10.1109/ICDE60146.2024.00234 SF ELIB - SuUB Bremen
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