Knowledge Graph Enhanced Dynamic Multi-Graph Convolutional Network for Traffic Origin-Destination Forecasting
Author:
Affiliation:
1. Xiamen University,Institute of Artificial Intelligence,Xiamen,China,361005
2. Xiamen University,School of Management,Xiamen,China,361005
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10649807/10649898/10651387.pdf?arnumber=10651387
Reference36 articles.
1. An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques
2. A survey on graph neural networks in intelligent transportation systems;Li,2024
3. Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
4. A review: Knowledge reasoning over knowledge graph
5. KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting
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