Knowledge Representation-Actuated Based Spatio-Temporal Graph Neural Network Traffic Flow Prediction
Author:
Affiliation:
1. School of Artificial Intelligence, Henan University,Zhengzhou,China
2. Queen's University,Department of Electrical and Computer Engineering,Canada
Funder
National Natural Science Foundation of China
Key Science and Technology Research Project of Henan Province of China
Science & Technology Development of Henan Province
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10436708/10436716/10437927.pdf?arnumber=10437927
Reference17 articles.
1. A Vision Transformer Approach for Traffic Congestion Prediction in Urban Areas
2. Attention-based spatio-temporal graph convolutional network considering external factors for multi-step traffic flow prediction
3. Knowledge Graph Quality Management: a Comprehensive Survey
4. A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
5. A Comprehensive Survey on Graph Neural Networks
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