Simpler is better: Multilevel Abstraction with Graph Convolutional Recurrent Neural Network Cells for Traffic Prediction.
Naghmeh Shafiee RoudbariZachary PattersonUrsula EickerCharalambos PoullisPublished in: CoRR (2022)
Keyphrases
- recurrent neural networks
- chaotic time series
- neural network
- complex valued
- prediction accuracy
- feed forward
- reservoir computing
- neural model
- long short term memory
- echo state networks
- recurrent networks
- real time
- high level
- feedforward neural networks
- graph mining
- artificial neural networks
- hidden layer
- graph theory
- prediction model
- graph structure
- traffic flow
- graph representation
- network traffic
- weighted graph
- directed graph
- cellular automata
- random walk
- road network
- spanning tree
- support vector
- training data
- genetic algorithm
- radial basis function