SASTGCN: A Self-Adaptive Spatio-Temporal Graph Convolutional Network for Traffic Prediction
Traffic prediction plays a significant part in creating intelligent cities such as traffic management, urban computing, and public safety. Nevertheless, the complex spatio-temporal linkages and dynamically shifting patterns make it somewhat challenging. Existing mainstream traffic prediction approac...
| Published in: | ISPRS International Journal of Geo-Information |
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| Main Authors: | , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-08-01
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| Subjects: | |
| Online Access: | https://www.mdpi.com/2220-9964/12/8/346 |