Denoising Aggregation of Graph Neural Networks by Using Principal Component Analysis.
Wei DongMarcin WozniakJunsheng WuWeigang LiZongwen BaiPublished in: IEEE Trans. Ind. Informatics (2023)
Keyphrases
- denoising
- neural network
- principal component analysis
- image denoising
- principal components
- image processing
- total variation
- noisy images
- natural images
- pattern recognition
- wavelet domain
- graph theory
- independent component analysis
- structured data
- graph representation
- random walk
- graph structure
- dimensionality reduction
- covariance matrix
- discriminant analysis
- graph matching
- gaussian noise
- back propagation
- low dimensional
- artificial neural networks
- feature extraction
- directed acyclic graph
- denoising algorithm
- dimension reduction
- noise removal
- fuzzy logic
- genetic algorithm
- data aggregation
- denoising methods
- graph databases
- recurrent neural networks
- directed graph
- singular value decomposition
- fault diagnosis
- signal processing
- feature space