Apstgcn: adaptive parallel spatio-temporal graph convolution network for traffic forecasting

Xiaohan Yu; Zhenjiang Hu; Seung Jun Baek; Chen Shen; Chao Chen

doi:10.1007/s10586-025-05136-z

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Apstgcn: adaptive parallel spatio-temporal graph convolution network for traffic forecasting

Xiaohan Yu Zhenjiang Hu Seung Jun Baek Chen Shen Chao Chen

Year: 2025 Journal: Cluster Computing Vol: 28 (7) Publisher: Springer Science+Business Media

DOI: 10.1007/s10586-025-05136-z

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Keywords:

Computer science Graph Convolution (computer science) Real-time computing Theoretical computer science Artificial intelligence Artificial neural network

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Topics

Traffic Prediction and Management Techniques

Physical Sciences → Engineering → Building and Construction

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Data Management and Algorithms

Physical Sciences → Computer Science → Signal Processing

Apstgcn: adaptive parallel spatio-temporal graph convolution network for traffic forecasting

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