Gated Residual Recurrent Graph Neural Networks for Traffic Prediction.
Cen ChenKenli LiSin G. TeoXiaofeng ZouKang WangJie WangZeng ZengPublished in: AAAI (2019)
Keyphrases
- neural network
- feed forward
- recurrent neural networks
- prediction accuracy
- artificial neural networks to predict
- graph theory
- pattern recognition
- prediction model
- neural networks and support vector machines
- graph structure
- directed graph
- neural network ensemble
- network traffic
- back propagation
- traffic flow
- artificial neural networks
- neural nets
- prediction scheme
- recurrent networks
- radial basis function network
- weighted graph
- chaotic time series
- real time
- connected components
- genetic algorithm
- prediction error
- multilayer perceptron
- graph representation
- graph matching
- protein function prediction
- structured data
- fuzzy logic
- predictive model
- graph theoretic
- prediction algorithm
- inter layer
- road network
- random walk
- semi supervised