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1 Ergebnisse
1
Self-Supervised Spatial-Temporal Bottleneck Attentive Netwo..:
, In:
2023 IEEE 39th International Conference on Data Engineering (ICDE)
,
Guo, Shengnan
;
Lin, Youfang
;
Gong, Letian
... - p. 1585-1596 , 2023
Link:
https://doi.org/10.1109/ICDE55515.2023.00125
RT T1 <cTitle>2023 IEEE 39th International Conference on Data Engineering (ICDE)</cTitle>: T1 <Title>Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efficient Long-term Traffic Forecasting</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10184658&Exemplar=1&LAN=DE A1 Guo, Shengnan A1 Lin, Youfang A1 Gong, Letian A1 Wang, Chenyu A1 Zhou, Zeyu A1 Shen, Zekai A1 Huang, Yiheng A1 Wan, Huaiyu YR 2023 SN 2375-026X K1 Computational modeling K1 Training data K1 Predictive models K1 Data models K1 Robustness K1 Computational efficiency K1 Forecasting K1 traffic forecasting K1 spatial-temporal graph data K1 self-supervised learning SP 1585 OP 1596 LK http://dx.doi.org/https://doi.org/10.1109/ICDE55515.2023.00125 DO https://doi.org/10.1109/ICDE55515.2023.00125 SF ELIB - SuUB Bremen
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