Uncertainty Quantification of Spatiotemporal Travel Demand With Probabilistic Graph Neural Networks.
Qingyi WangShenhao WangDingyi ZhuangHaris N. KoutsopoulosJinhua ZhaoPublished in: IEEE Trans. Intell. Transp. Syst. (2024)
Keyphrases
- neural network
- uncertain data
- probability theory
- conditional probabilities
- pattern recognition
- probability measure
- spatiotemporal databases
- probability measures
- fuzzy logic
- random walk
- probabilistic knowledge
- graph theoretic
- decision theory
- directed acyclic graph
- directed graph
- space time
- graph representation
- spatio temporal
- graph theory
- weighted graph
- graph structure
- handling uncertainty
- bayesian networks
- bipartite graph
- probabilistic model
- spatial and temporal
- graph model
- genetic algorithm
- generative model
- probabilistic logic
- structured data
- belief functions
- graph mining
- connected components
- training process
- fuzzy systems
- neural network model
- neural nets
- graph matching
- spanning tree
- back propagation
- video sequences
- feed forward
- belief networks
- fuzzy sets
- moving objects
- multilayer perceptron