Dynamic Spatio-temporal traffic flow prediction based on multi fusion graph attention network
Author:
Affiliation:
1. School of Computer Science, Nanjing University of Posts and Telecommunications,Nanjing,China,210023
2. College Of Automation & Artificial Intelligence, Nanjing University of Posts and Telecommunications,Nanjing,China,210023
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9901509/9901494/09902776.pdf?arnumber=9902776
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5. Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
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1. STAGNN: a spatial-temporal attention graph neural network for network traffic prediction;International Journal of Communication Networks and Distributed Systems;2024
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