DL4Traffic

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• Special issue website: https://www.sciencedirect.com/journal/information-fusion/about/call-for-papers#graph-neural-network-for-traffic-forecasting
• Deadline for manuscript submissions: 1 December 2023.

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• Deadline for manuscript submissions: 1 April 2024.

This is the repository for the collection of Deep Learning for Traffic Prediction Problems.

If you find this repository helpful, you may consider cite our relevant work:

• Jiang W, Luo J. Graph Neural Network for Traffic Forecasting: A Survey[J]. Expert Systems with Applications, 2022. Link
• Jiang W, Luo J. Big Data for Traffic Estimation and Prediction: A Survey of Data and Tools[J]. Applied System Innovation. 2022; 5(1):23. Link
• Jiang W. Bike sharing usage prediction with deep learning: a survey[J]. Neural Computing and Applications, 2022, 34(18): 15369-15385. Link
• Jiang W, Luo J, He M, Gu W. Graph Neural Network for Traffic Forecasting: The Research Progress[J]. ISPRS International Journal of Geo-Information, 2023. Link

For a narrow collection of graph neural network for traffic forecasting, you may check: GNN4Traffic

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