Multi-scale attention graph convolutional recurrent network for traffic forecasting.
Liyan XiongZhuyi HuXinhua YuanWeihua DingXiaohui HuangYuanchun LanPublished in: Clust. Comput. (2024)
Keyphrases
- recurrent networks
- multiscale
- recurrent neural networks
- graph theory
- graph model
- biologically inspired
- feed forward
- structured data
- graph structure
- network traffic
- directed graph
- graph theoretic
- graph representation
- image representation
- short term
- visual attention
- wavelet transform
- bipartite graph
- traffic flow
- random walk
- support vector regression
- directed acyclic graph
- weighted graph
- natural images
- neural network
- graph mining
- edge detection
- spanning tree
- undirected graph
- scale space
- exchange rate
- multiple scales
- coarse to fine
- traffic volume