Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks.
Qingyi WangShenhao WangDingyi ZhuangHaris N. KoutsopoulosJinhua ZhaoPublished in: CoRR (2023)
Keyphrases
- neural network
- uncertain data
- probability theory
- spatiotemporal databases
- decision theory
- conditional probabilities
- probabilistic model
- pattern recognition
- artificial neural networks
- probability measures
- handling uncertainty
- multi layer
- moving objects
- directed graph
- spatial and temporal
- neural network model
- probability measure
- graph matching
- multilayer perceptron
- probabilistic knowledge
- graph representation
- structured data
- graph theory
- graph structure
- weighted graph
- random walk
- spanning tree
- lead time
- possibility theory
- maximum flow
- spatiotemporal data
- graph theoretic
- graph model
- connected components
- spatio temporal
- bayesian networks
- genetic algorithm
- graph databases
- robust optimization
- route planning
- bipartite graph
- recurrent neural networks
- fuzzy logic