STAGCN: Spatial–Temporal Attention Graph Convolution Network for Traffic Forecasting
Traffic forecasting plays an important role in intelligent transportation systems. However, the prediction task is highly challenging due to the mixture of global and local spatiotemporal dependencies involved in traffic data. Existing graph neural networks (GNNs) typically capture spatial dependenc...
Main Authors: | Yafeng Gu, Li Deng |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-05-01
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Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/10/9/1599 |
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