Vehicular Crowdsensing Inference and Prediction With Multi Training Graph Transformer Networks.
Jie HuoLuhan WangZhaoming LuXiangming WenPublished in: IEEE Internet Things J. (2024)
Keyphrases
- heterogeneous networks
- probabilistic networks
- average degree
- prediction accuracy
- fully connected
- social networks
- weighted graph
- small world
- complex networks
- neural network ensemble
- recurrent networks
- fault diagnosis
- structured prediction
- echo state networks
- training process
- directed edges
- community discovery
- edge weights
- random walk
- structured data
- network analysis
- graph theory
- prediction model
- neural network
- graph layout
- supervised learning
- network structure
- directed graph
- radial basis function network
- graph representation
- urban areas
- probabilistic inference
- bayesian inference
- biological networks
- clustering coefficient
- graphical structure
- multi layer perceptron
- bayesian networks
- graph model
- graph mining