Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processes.
Jeremiah HauthCosmin SaftaXun HuanRavi G. PatelReese E. JonesPublished in: CoRR (2024)
Keyphrases
- neural network model
- neural network
- artificial neural networks
- evolving graphs
- bayesian models
- network architecture
- neural models
- multilayer perceptron
- graph theory
- graph structure
- bp neural network
- image processing
- rbf neural network
- directed graph
- input variables
- multi layer perceptron
- graph representation
- bayesian inference
- bipartite graph
- conditional probabilities
- weighted graph
- structured data
- random walk
- continuously changing