Towards Spatio- Temporal Aware Traffic Time Series Forecasting
Author:
Affiliation:
1. Aalborg University,Department of Computer Science,Denmark
2. Monash University,Faculty of Information Technology,Australia
Funder
Independent Research Fund Denmark
VILLUM FONDEN
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9835153/9835154/09835586.pdf?arnumber=9835586
Reference52 articles.
1. Traffic Flow Prediction via Spatial Temporal Graph Neural Network
2. Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
3. AutoCTS: Automated correlated time series forecasting;wu;PVLDB,2022
4. Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting
5. Graph attention recurrent neural networks for correlated time series forecasting;cirstea;MileTS19 KDD,2019
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