Training Graph Neural Networks by Graphon Estimation.
Ziqing HuYihao FangLizhen LinPublished in: CoRR (2021)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- backpropagation algorithm
- multi layer perceptron
- error back propagation
- back propagation
- graph theory
- graph based algorithm
- training patterns
- artificial neural networks
- structured data
- training set
- weighted graph
- neural network training
- random walk
- spanning tree
- graph theoretic
- feed forward neural networks
- multi layer
- pattern recognition
- graph matching
- neural network model
- neural network structure
- supervised learning
- training examples
- training data
- radial basis function network
- genetic algorithm
- estimation algorithm
- online learning
- multilayer perceptron
- directed graph
- graph model
- graph representation
- estimation accuracy
- probabilistic model
- directed acyclic graph
- support vector machine
- data sets
- bayesian networks
- neural nets
- radial basis function
- multilayer neural network