On Structural Explanation of Bias in Graph Neural Networks.
Yushun DongSong WangYu WangTyler DerrJundong LiPublished in: CoRR (2022)
Keyphrases
- neural network
- graph representation
- random walk
- back propagation
- pattern recognition
- graph structure
- structural model
- genetic algorithm
- artificial neural networks
- graph theory
- multilayer perceptron
- neural network model
- bayesian networks
- graph theoretic
- multi layer
- directed graph
- connected components
- fuzzy logic
- fault diagnosis
- bipartite graph
- graph based algorithm
- structural patterns
- graph model
- structural features
- variance reduction
- graph search
- data sets
- stable set
- web graph
- network architecture
- directed acyclic graph
- neural nets
- recurrent neural networks
- graph matching
- structured data
- sufficient conditions
- machine learning