Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting.
Tanwi MallickPrasanna BalaprakashJane MacFarlanePublished in: CoRR (2022)
Keyphrases
- neural network
- neural network ensemble
- graph representation
- pattern recognition
- graph theory
- backpropagation neural networks
- artificial neural networks
- random walk
- spatiotemporal databases
- short term
- network traffic
- traffic flow
- uncertain data
- ensemble methods
- graph structure
- traffic volume
- weighted graph
- real time
- akaike information criterion
- graph model
- support vector regression
- neural nets
- fuzzy logic
- space time
- neural network model
- genetic algorithm
- long term
- back propagation
- road network
- ensemble learning
- prediction model
- directed acyclic graph
- graph mining
- graph databases
- multi layer perceptron
- multi layer
- competitive learning
- shortest path
- chaotic time series
- bp neural network
- bipartite graph