SAST-GNN: A Self-Attention Based Spatio-Temporal Graph Neural Network for Traffic Prediction.
Yi XieYun XiongYangyong ZhuPublished in: DASFAA (1) (2020)
Keyphrases
- spatio temporal
- neural network
- prediction model
- prediction accuracy
- back propagation
- bp neural network
- elman network
- movement patterns
- multi layer perceptron
- graph structure
- graph theory
- artificial neural networks
- structured data
- fault diagnosis
- chaotic time series
- prediction algorithm
- genetic algorithm
- neural network model
- graph model
- image sequences
- traffic flow
- prediction error
- spatial and temporal
- fuzzy logic
- visual attention
- network traffic
- weighted graph
- directed acyclic graph
- real time
- undirected graph
- feed forward
- graph representation
- spatio temporal databases
- radial basis function
- protein function prediction
- pattern recognition