Prediction of the Effects of Epidemic Spreading with Graph Neural Networks.
Sebastian MeznarNada LavracBlaz SkrljPublished in: COMPLEX NETWORKS (1) (2020)
Keyphrases
- neural network
- prediction accuracy
- pattern recognition
- prediction algorithm
- prediction model
- artificial neural networks to predict
- neural network ensemble
- graph structure
- artificial neural networks
- back propagation
- protein function prediction
- bipartite graph
- graph theory
- graph based algorithm
- graph theoretic
- directed graph
- graph representation
- chaotic time series
- random walk
- random graphs
- predictive model
- prediction error
- multi layer
- graph partitioning
- elman network
- outbreak detection
- feed forward
- neural nets
- competitive learning
- graph model
- multi layer perceptron
- link analysis
- graph mining
- structured data
- public health
- connected components
- hiv aids
- human immunodeficiency virus
- graph databases
- neural network model