FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks.
Renqiang LuoHuafei HuangShuo YuZhuoyang HanEstrid HeXiuzhen ZhangFeng XiaPublished in: CoRR (2024)
Keyphrases
- neural network
- pattern recognition
- back propagation
- graph representation
- graph structure
- genetic algorithm
- fuzzy logic
- neural network model
- recurrent neural networks
- random walk
- resource allocation
- graph theoretic
- graph model
- stable set
- graph based algorithm
- weighted graph
- multilayer perceptron
- game theory
- utility function
- bipartite graph
- training process
- graph mining
- graph matching
- spanning tree
- undirected graph
- directed graph
- graphical representation
- expected utility
- graph clustering
- random graphs
- self organizing maps