Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks.
Amol KapoorXue BenLuyang LiuBryan PerozziMatt BarnesMartin BlaisShawn O'BanionPublished in: CoRR (2020)
Keyphrases
- spatio temporal
- neural network
- pattern recognition
- spatial and temporal
- short term
- structured data
- graph representation
- graph matching
- graph theoretic
- backpropagation neural networks
- directed graph
- random walk
- artificial neural networks
- moving objects
- space time
- back propagation
- neural network model
- financial forecasting
- weather forecasting
- predictive model
- prediction model
- graph structure
- graph theory
- spatio temporal data
- feed forward
- graph partitioning
- bipartite graph
- human actions
- fault diagnosis
- fuzzy logic
- image sequences
- genetic algorithm
- graph model
- neural nets
- associative memory
- image segmentation