Improving the Training of Graph Neural Networks with Consistency Regularization.
Chenhui ZhangYufei HeYukuo CenZhenyu HouJie TangPublished in: CoRR (2021)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- early stopping
- multi layer perceptron
- feed forward neural networks
- graph laplacian
- graph representation
- solution path
- pattern recognition
- random walk
- weighted graph
- neural network training
- radial basis function network
- structured data
- graph structure
- graph theoretic
- neural network structure
- stochastic gradient descent
- graph databases
- graph model
- multi layer
- recurrent networks
- graph mining
- error back propagation
- multilayer perceptron
- graph matching
- radial basis function
- directed graph
- fuzzy logic
- test set
- training examples
- training samples
- genetic algorithm
- directed acyclic graph
- learning algorithm
- online learning
- sufficient conditions
- back propagation
- fault diagnosis
- connected components
- graph theory
- hidden layer