Spatial-temporal graph neural network for traffic forecasting: An overview and open research issues

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

(2022) Xueyan Yin et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Graph-Partitioning-Based Diffusion Convolutional Recurrent Neural Network for Large-Scale Traffic Forecasting

(2020) Tanwi Mallick et al.   TRANSPORTATION RESEARCH RECORD

A Deep Learning Model for Smart Manufacturing Using Convolutional LSTM Neural Network Autoencoders

(2020) Aniekan Essien et al.   IEEE Transactions on Industrial Informatics

A Comprehensive Survey on Graph Neural Networks

(2020) Zonghan Wu et al.   IEEE Transactions on Neural Networks and Learning Systems

An Automated Hyperparameter Search-Based Deep Learning Model for Highway Traffic Prediction

(2020) Hongsuk Yi et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Spatio-Temporal Meta Learning for Urban Traffic Prediction

(2020) Zheyi Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Temporal pattern attention for multivariate time series forecasting

(2019) Shun-Yao Shih et al.   MACHINE LEARNING

Parallel computing method of deep belief networks and its application to traffic flow prediction

(2018) Lu Zhao et al.   KNOWLEDGE-BASED SYSTEMS

Geometric Deep Learning: Going beyond Euclidean data

(2017) Michael M. Bronstein et al.   IEEE SIGNAL PROCESSING MAGAZINE

Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction

(2017) Xiaolei Ma et al.   SENSORS