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1 Ergebnisse
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DyDiff-VAE: A Dynamic Variational Framework for Information..:
, In:
Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
,
Wang, Ruijie
;
Huang, Zijie
;
Liu, Shengzhong
... - p. 163-172 , 2021
Link:
https://dl.acm.org/doi/10.1145/3404835.3462934
RT T1
Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
: T1
DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction
UL https://suche.suub.uni-bremen.de/peid=acm-3462934&Exemplar=1&LAN=DE A1 Wang, Ruijie A1 Huang, Zijie A1 Liu, Shengzhong A1 Shao, Huajie A1 Liu, Dongxin A1 Li, Jinyang A1 Wang, Tianshi A1 Sun, Dachun A1 Yao, Shuochao A1 Abdelzaher, Tarek PB ACM YR 2021 K1 attention K1 deep learning K1 diffusion prediction K1 social networks K1 variational autoencoder K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Information systems K1 World Wide Web K1 Web applications K1 Social networks SP 163 OP 172 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3404835.3462934 DO https://dl.acm.org/doi/10.1145/3404835.3462934 SF ELIB - SuUB Bremen
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