Simpler is better: Multilevel Abstraction with Graph Convolutional Recurrent Neural Network Cells for Traffic Prediction.
Naghmeh Shafiee RoudbariZachary PattersonUrsula EickerCharalambos PoullisPublished in: SSCI (2022)
Keyphrases
- recurrent neural networks
- chaotic time series
- prediction accuracy
- neural network
- feed forward
- recurrent networks
- complex valued
- hidden layer
- reservoir computing
- long short term memory
- feedforward neural networks
- prediction model
- artificial neural networks
- hebbian learning
- neural model
- real time
- graph structure
- random walk
- echo state networks
- graph theory
- structured data
- high level
- traffic flow
- graph representation
- decision making
- nonlinear dynamic systems
- artificial intelligence