Deconfounded Training for Graph Neural Networks.
Yongduo SuiXiang WangJiancan WuXiangnan HeTat-Seng ChuaPublished in: CoRR (2021)
Keyphrases
- neural network
- training process
- training algorithm
- feed forward neural networks
- back propagation
- multi layer perceptron
- artificial neural networks
- pattern recognition
- neural network training
- backpropagation algorithm
- structured data
- directed graph
- random walk
- graph model
- feedforward neural networks
- graph representation
- feed forward
- recurrent networks
- graph structure
- multi layer
- supervised learning
- error back propagation
- graph theory
- training patterns
- training phase
- connected components
- self organizing maps
- training examples
- training samples
- fuzzy logic
- recurrent neural networks
- multilayer perceptron
- activation function
- test set
- global exponential stability
- semi supervised learning
- online learning
- multilayer neural network