Graph Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.
Yaguang LiRose YuCyrus ShahabiYan LiuPublished in: CoRR (2017)
Keyphrases
- recurrent neural networks
- data driven
- neural network
- feed forward
- chaotic time series
- complex valued
- recurrent networks
- graph representation
- hidden layer
- long short term memory
- echo state networks
- artificial neural networks
- reservoir computing
- short term
- graph theory
- network traffic
- graph structure
- feedforward neural networks
- directed graph
- random walk
- real time
- traffic volume
- forecasting model
- fuzzy logic
- support vector regression
- deep learning
- neural model
- traffic flow
- social networks
- machine learning
- nonlinear dynamic systems
- neuro fuzzy
- road network