Spatiotemporal graph convolutional recurrent networks for traffic matrix prediction.
Jianlong ZhaoHua QuJi-hong ZhaoHui-jun DaiDingchao JiangPublished in: Trans. Emerg. Telecommun. Technol. (2020)
Keyphrases
- recurrent networks
- recurrent neural networks
- adjacency matrix
- biologically inspired
- prediction accuracy
- graph theory
- prediction model
- neural network
- traffic flow
- eigenvalues and eigenvectors
- real time
- graph representation
- network traffic
- graph databases
- laplacian matrix
- feed forward
- structured data
- bipartite graph
- prediction error
- graph model
- singular value decomposition
- moving objects
- deep learning
- transition matrix
- graph structure
- random walk
- directed acyclic graph
- spanning tree
- similarity matrix
- positive definite
- expert systems
- artificial intelligence
- learning algorithm