Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus.
Tianhong ZhaoZhengdong HuangWei TuFilip BiljeckiLong ChenPublished in: Int. J. Geogr. Inf. Sci. (2023)
Keyphrases
- neural network
- pattern recognition
- high speed
- genetic algorithm
- graph theoretic
- graph representation
- graph model
- fuzzy logic
- random walk
- graph theory
- space time
- directed graph
- fuzzy systems
- weighted graph
- bipartite graph
- spatial and temporal
- structured data
- back propagation
- multiple views
- artificial neural networks
- self organizing maps
- neural network model
- graph based algorithm
- multi view
- graph databases
- spanning tree
- moving objects
- viewpoint
- spatiotemporal patterns
- spatiotemporal data
- production cost
- image sequences
- neural nets
- graph matching
- feed forward
- connected components