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Spatial-temporal correlated graph neural networks based on neighborhood feature selection for traffic data prediction.

J. Yang, F. Xie, J. Yang, J. Shi, J. Zhao, and R. Zhang. Appl. Intell., 53 (4): 4717-4732 (February 2023)

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Yang Yang

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A modified YOLOv5 for object detection in UAV-captured scenarios.J. Yang, H. Yang, F. Wang, and X. Chen. ICNSC, page 1-6. IEEE, (2022)Smoke Segmentation Method Based on Super Pixel Segmentation and Convolutional Neural Network.C. Wang, J. Zhang, J. Yang, and K. Feng. 6GN (2), volume 554 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 252-262. Springer, (2023)Spatial-temporal correlated graph neural networks based on neighborhood feature selection for traffic data prediction.J. Yang, F. Xie, J. Yang, J. Shi, J. Zhao, and R. Zhang. Appl. Intell., 53 (4): 4717-4732 (February 2023)

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Disambiguation of "Yang, Jiale"

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Spatial-temporal correlated graph neural networks based on neighborhood feature selection for traffic data prediction.

Please choose a person to relate this publication to

Yang Yang

Yang Yang

Yang Yang

Yang Yang

Yang Yang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Yang, Jiale"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Spatial-temporal correlated graph neural networks based on neighborhood feature selection for traffic data prediction.

Please choose a person to relate this publication to

Yang Yang

Yang Yang

Yang Yang

Yang Yang

Yang Yang

Other publications of authors with the same name

Disambiguation

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Spatial-temporal correlated graph neural networks based on neighborhood feature selection for traffic data prediction.