Robust Training of Graph Neural Networks via Noise Governance.
Siyi QianHaochao YingRenjun HuJingbo ZhouJintai ChenDanny Z. ChenJian WuPublished in: CoRR (2022)
Keyphrases
- neural network
- image noise
- training process
- training algorithm
- noisy environments
- feedforward neural networks
- pattern recognition
- feed forward neural networks
- salt pepper
- fuzzy logic
- multi layer
- greater robustness
- graph representation
- multi layer perceptron
- genetic algorithm
- structured data
- training set
- training phase
- back propagation
- geometric distortions
- training examples
- learning algorithm
- error back propagation
- backpropagation algorithm
- supervised learning
- random walk
- weighted graph
- graph model
- graph matching
- recurrent neural networks
- graph theory