Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting.
Yihong MaPatrick GérardYijun TianZhichun GuoNitesh V. ChawlaPublished in: CIKM (2022)
Keyphrases
- spatio temporal
- neural network
- spatial and temporal
- random walk
- genetic algorithm
- backpropagation neural networks
- graph representation
- multi layer
- graph structure
- image sequences
- pattern recognition
- artificial neural networks
- short term
- back propagation
- space time
- fuzzy logic
- hierarchical structure
- connected components
- financial forecasting
- weighted graph
- structured data
- predictive model
- graph theory
- spatial temporal
- graph model
- graph mining
- directed acyclic graph
- training process
- weather forecasting
- bipartite graph
- neural nets
- multilayer perceptron
- graph matching
- feed forward
- directed graph
- associative memory
- human motion
- public health
- exchange rate
- long term
- learning algorithm