Attentive graph structure learning embedded in deep spatial-temporal graph neural network for traffic forecasting

Author:

Bikram PritamORCID,Das Shubhajyoti,Biswas Arindam

Publisher

Springer Science and Business Media LLC

Reference68 articles.

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4. Kumar A, Banno A, Ono S, Oishi T, Ikeuchi K (2013) Global coordinate adjustment of the 3d survey models under unstable gps condition. Seisan Kenkyu 65(2):91–95

5. Zhang W, Zhu K, Zhang S, Chen Q, Xu J (2022) Dynamic graph convolutional networks based on spatiotemporal data embedding for traffic flow forecasting. Knowl-Based Syst 250:109028

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