Very Deep Graph Neural Networks Via Noise Regularisation.
Jonathan GodwinMichael SchaarschmidtAlexander GauntAlvaro Sanchez-GonzalezYulia RubanovaPetar VelickovicJames KirkpatrickPeter W. BattagliaPublished in: CoRR (2021)
Keyphrases
- neural network
- noise level
- artificial neural networks
- random walk
- weighted graph
- pattern recognition
- signal to noise ratio
- bipartite graph
- random noise
- graph model
- graph theory
- graph matching
- neural network model
- noisy data
- genetic algorithm
- image noise
- noise model
- graph theoretic
- graph representation
- multi layer
- noise reduction
- graph structure
- back propagation
- structured data
- fuzzy logic
- fuzzy systems
- knn
- graph partitioning
- gaussian noise
- arbitrary shape
- self organizing maps
- neural nets
- noise free
- multilayer perceptron