Training Graph Neural Networks by Graphon Estimation.
Ziqing HuYihao FangLizhen LinPublished in: IEEE BigData (2021)
Keyphrases
- neural network
- training process
- feedforward neural networks
- training algorithm
- feed forward neural networks
- multi layer perceptron
- back propagation
- graph structure
- error back propagation
- artificial neural networks
- directed graph
- training set
- graph representation
- neural network training
- backpropagation algorithm
- accurate estimation
- training phase
- multilayer perceptron
- graph theory
- multi layer
- recurrent networks
- spanning tree
- supervised learning
- training samples
- neural network structure
- self organizing maps
- test set
- random walk
- decision trees
- image sequences
- maximum likelihood
- graph data
- graph model
- learning rate
- weighted graph
- sufficient conditions
- bipartite graph
- density estimation
- feed forward
- training examples