CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting.
Lijing WangAniruddha AdigaJiangzhuo ChenAdam SadilekSrinivasan VenkatramananMadhav V. MarathePublished in: AAAI (2022)
Keyphrases
- spatio temporal
- neural network
- directed acyclic graph
- pattern recognition
- causal graph
- image sequences
- short term
- bayesian networks
- artificial neural networks
- genetic algorithm
- graph representation
- directed graph
- spatial and temporal
- graph theory
- connected components
- structured data
- spatio temporal data
- back propagation
- random walk
- financial forecasting
- graph theoretic
- public health
- causal relationships
- graph model
- graph matching
- graph structure
- bipartite graph
- prediction model
- recurrent neural networks
- self organizing maps
- space time
- fuzzy logic
- long term
- causal models
- multilayer perceptron
- feed forward
- predictive model
- backpropagation neural networks
- short term prediction