Quadratic memory-augmented spatio-temporal transformer graph convolutional recurrent network for traffic forecasting

Xiaoyan Zhang; Yongqin Zhang; Xiangfu Meng

doi:10.1007/s13042-024-02474-z

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Quadratic memory-augmented spatio-temporal transformer graph convolutional recurrent network for traffic forecasting

Xiaoyan Zhang Yongqin Zhang Xiangfu Meng

Year: 2024 Journal: International Journal of Machine Learning and Cybernetics Vol: 16 (5-6)Pages: 3693-3710 Publisher: Springer Science+Business Media

DOI: 10.1007/s13042-024-02474-z

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Keywords:

Computer science Computational intelligence Graph Transformer Quadratic equation Artificial intelligence Machine learning Theoretical computer science Mathematics Engineering

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Traffic Prediction and Management Techniques

Physical Sciences → Engineering → Building and Construction

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Quadratic memory-augmented spatio-temporal transformer graph convolutional recurrent network for traffic forecasting

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