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1 Ergebnisse
1
PyTorch Geometric Temporal: Spatiotemporal Signal Processin..:
, In:
Proceedings of the 30th ACM International Conference on Information & Knowledge Management
,
Rozemberczki, Benedek
;
Scherer, Paul
;
He, Yixuan
... - p. 4564-4573 , 2021
Link:
https://dl.acm.org/doi/10.1145/3459637.3482014
RT T1 <cTitle>Proceedings of the 30th ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3482014&Exemplar=1&LAN=DE A1 Rozemberczki, Benedek A1 Scherer, Paul A1 He, Yixuan A1 Panagopoulos, George A1 Riedel, Alexander A1 Astefanoaei, Maria A1 Kiss, Oliver A1 Beres, Ferenc A1 López, Guzmán A1 Collignon, Nicolas A1 Sarkar, Rik PB ACM YR 2021 K1 deep learning K1 graph neural networks K1 machine learning K1 time series data K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 4564 OP 4573 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3459637.3482014 DO https://dl.acm.org/doi/10.1145/3459637.3482014 SF ELIB - SuUB Bremen
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