Spatiotemporal Urban Inference and Prediction in Sparse Mobile CrowdSensing: A Graph Neural Network Approach.
En WangWeiting LiuWenbin LiuYongjian YangBo YangJie WuPublished in: IEEE Trans. Mob. Comput. (2023)
Keyphrases
- neural network
- prediction model
- prediction accuracy
- mobile devices
- mobile phone
- random walk
- graph theory
- space time
- mobile applications
- clique tree
- neural network ensemble
- structured data
- back propagation
- gaussian graphical models
- chaotic time series
- graph structure
- artificial neural networks
- high dimensional
- pattern recognition
- elman network
- neural network is trained
- directed acyclic graph
- multi layer
- probabilistic inference
- moving objects
- recurrent neural networks
- context aware
- spatial and temporal
- sparse representation
- mobile learning
- graph databases
- knn
- directed acyclic
- self organizing maps
- inference process
- bp neural network
- graph model
- neural network model
- weighted graph
- graph matching
- mobile users