GANExplainer: Explainability Method for Graph Neural Network with Generative Adversarial Nets.
Xinrui KangDong LiangQinfeng LiPublished in: ICCPR (2022)
Keyphrases
- neural network
- detection method
- bp neural network
- cost function
- high precision
- significant improvement
- fuzzy logic
- back propagation
- model selection
- neural nets
- high accuracy
- graph structures
- prior knowledge
- multi agent
- similarity measure
- back propagation neural network
- graph structure
- graphical models
- spanning tree
- unsupervised learning
- input data
- markov random field
- computational cost
- dynamic programming
- genetic algorithm