Efficient Traffic State Forecasting using Spatio-Temporal Network Dependencies: A Sparse Graph Neural Network Approach.
Bin LeiShaoyi HuangCaiwen DingMonika FilipovskaPublished in: CoRR (2022)
Keyphrases
- spatio temporal
- neural network
- network traffic
- network model
- network architecture
- traffic analysis
- backpropagation neural networks
- traffic load
- network structure
- prediction model
- hopfield network
- internet traffic
- network resources
- small world
- elman network
- radial basis
- network layer
- telecommunication networks
- traffic volume
- high dimensional
- graph theory
- short term
- spatial and temporal
- directed graph
- artificial neural networks
- peer to peer
- network configuration
- back propagation
- recurrent networks
- complex networks
- spanning tree
- recurrent neural networks
- traffic light
- congestion control
- transportation networks
- ddos attacks
- wavelet neural network
- support vector regression