EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting.
Feng XieZhong ZhangLiang LiBin ZhouYusong TanPublished in: CoRR (2022)
Keyphrases
- neural network
- prediction model
- short term
- short term load forecasting
- artificial neural networks
- spatial data
- spatial information
- data transmission
- graph model
- neural network model
- genetic algorithm
- graph representation
- graph structure
- pattern recognition
- spatio temporal
- random walk
- back propagation
- logistics demand
- backpropagation neural network
- graph theory
- weighted graph
- fuzzy logic
- network architecture
- backpropagation neural networks
- neural network is trained
- public health
- graph theoretic
- exchange rate
- forecasting model
- spatial and temporal
- clustering algorithm
- fault diagnosis
- forecasting accuracy
- spatial databases
- recurrent neural networks
- spatial relationships