Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks.
Jilin HuBin YangChenjuan GuoChristian S. JensenHui XiongPublished in: ICDE (2020)
Keyphrases
- recurrent neural networks
- origin destination
- neural network
- chaotic time series
- adjacency matrix
- echo state networks
- feed forward
- artificial neural networks
- recurrent networks
- reservoir computing
- neural model
- feedforward neural networks
- directed acyclic graph
- directed graph
- short term
- travel time
- graph structure
- undirected graph
- long term
- computer vision
- genetic algorithm
- cascade correlation
- machine learning