Spectral Adversarial Training for Robust Graph Neural Network.
Jintang LiJiaying PengLiang ChenZibin ZhengTingting LiangQing LingPublished in: CoRR (2022)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- multi layer perceptron
- feed forward neural networks
- pattern recognition
- training patterns
- graph theoretic
- graph model
- graph theory
- graph mining
- spectral decomposition
- directed graph
- neural network model
- graph matching
- training examples
- recurrent networks
- training phase
- support vector
- spectral analysis
- graph construction
- multilayer neural network
- graph representation
- graph partitioning
- recurrent neural networks
- connected components
- fault diagnosis
- structured data
- computationally efficient
- random walk
- multi agent