EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting.
Feng XieZhong ZhangLiang LiBin ZhouYusong TanPublished in: ECML/PKDD (6) (2022)
Keyphrases
- neural network
- spatio temporal
- prediction model
- artificial neural networks
- short term load forecasting
- spatial information
- pattern recognition
- back propagation
- structured data
- spatial data
- directed graph
- spatial and temporal
- graph representation
- random walk
- neural network model
- graph structure
- fuzzy logic
- bp neural network
- genetic algorithm
- graph theoretic
- activation function
- weighted graph
- graph theory
- connected components
- predictive model
- backpropagation neural networks
- chaotic time series
- graph model
- graph matching
- data transmission
- spanning tree
- radial basis function
- public health
- graph mining
- fault diagnosis
- feed forward neural networks
- neighborhood graph
- back propagation neural network
- load forecasting
- regression model
- neural network is trained
- spatial relationships