Graph neural network for traffic forecasting: A survey

作者：

Highlights：

• The latest application of graph neural network in traffic forecasting is presented.

• The often-ignored implementation and reproducibility in other surveys are examined.

• The future directions along with the research frontiers are pointed out.

摘要

•The latest application of graph neural network in traffic forecasting is presented.•The often-ignored implementation and reproducibility in other surveys are examined.•The future directions along with the research frontiers are pointed out.

论文关键词：Traffic forecasting,Graph neural networks,Graph convolution network,Graph attention network,Deep learning

论文评审过程：Received 14 December 2021, Revised 16 May 2022, Accepted 17 June 2022, Available online 23 June 2022, Version of Record 4 July 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117921