RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task.
Jiaxing ZhangZhuomin ChenHao MeiDongsheng LuoHua WeiPublished in: CoRR (2023)
Keyphrases
- generating explanations
- neural network
- back propagation
- graph representation
- graph model
- graph theoretic
- regression algorithm
- random walk
- linear regression
- pattern recognition
- artificial neural networks
- regression model
- multi layer
- fuzzy systems
- bipartite graph
- graph structure
- neural network model
- directed graph
- graph mining
- recurrent neural networks
- graph databases
- regression problems
- partial least squares
- genetic algorithm
- support vector
- structured data
- fuzzy logic
- model selection
- machine learning
- locally weighted
- bayesian networks
- genetic programming
- spanning tree
- graph matching
- gaussian processes
- self organizing maps
- training process
- connected components
- feed forward
- weighted graph