On Structural Explanation of Bias in Graph Neural Networks.
Yushun DongSong WangYu WangTyler DerrJundong LiPublished in: KDD (2022)
Keyphrases
- neural network
- random walk
- graph structure
- artificial neural networks
- structural model
- structured data
- directed graph
- feed forward
- pattern recognition
- structural patterns
- graph representation
- structural information
- graph theory
- stable set
- hopfield neural network
- genetic algorithm
- graph mining
- neural network model
- back propagation
- graph construction
- weighted graph
- multi layer
- fuzzy systems
- directed acyclic graph
- connected components
- fuzzy logic
- graph search
- structural features
- bipartite graph
- graph based algorithm
- graph structures
- dependency graph
- graph theoretic
- knn
- np hard
- sufficient conditions
- structural analysis
- rule extraction
- edge weights
- multi layer perceptron
- network architecture
- graph model
- neural nets