DyGraphformer: Transformer combining dynamic spatio-temporal graph network for multivariate time series forecasting

Shuo Han; Yaling Xun; Jianghui Cai; Haifeng Yang; Yan‐Feng Li

doi:10.1016/j.neunet.2024.106776

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DyGraphformer: Transformer combining dynamic spatio-temporal graph network for multivariate time series forecasting

Shuo Han Yaling Xun Jianghui Cai Haifeng Yang Yan‐Feng Li

Year: 2024 Journal: Neural Networks Vol: 181 Pages: 106776-106776 Publisher: Elsevier BV

DOI: 10.1016/j.neunet.2024.106776

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Keywords:

Multivariate statistics Computer science Time series Series (stratigraphy) Artificial intelligence Graph Transformer Machine learning Pattern recognition (psychology) Data mining Theoretical computer science Engineering Voltage

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Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Traffic Prediction and Management Techniques

Physical Sciences → Engineering → Building and Construction

Advanced Text Analysis Techniques

Physical Sciences → Computer Science → Artificial Intelligence

DyGraphformer: Transformer combining dynamic spatio-temporal graph network for multivariate time series forecasting

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