NodeTrans: A Graph Transfer Learning Approach for Traffic Prediction

no code implementations • 4 Jul 2022 • Xueyan Yin, Feifan Li, Yanming Shen, Heng Qi, BaoCai Yin

First, a spatial-temporal graph neural network is proposed, which can capture the node-specific spatial-temporal traffic patterns of different road networks.

Traffic Prediction Transfer Learning

Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions

no code implementations • 18 Apr 2020 • Xueyan Yin, Genze Wu, Jinze Wei, Yanming Shen, Heng Qi, Bao-Cai Yin

The purpose of this paper is to provide a comprehensive survey on deep learning-based approaches in traffic prediction from multiple perspectives.

Traffic Prediction