Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting

标题
Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting
作者
关键词
Traffic passenger flows prediction, Graph convolutional neural network, LSTM, Importance sampling, Urban computing
出版物
INFORMATION SCIENCES
Volume 521, Issue -, Pages 277-290
出版商
Elsevier BV
发表日期
2020-01-21
DOI
10.1016/j.ins.2020.01.043

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