On the Interaction between Node Fairness and Edge Privacy in Graph Neural Networks.
He ZhangXingliang YuanQuoc Viet Hung NguyenShirui PanPublished in: CoRR (2023)
Keyphrases
- neural network
- undirected graph
- edge weights
- weighted graph
- graph structure
- directed graph
- disjoint paths
- strongly connected
- finding the shortest path
- shortest path
- bipartite graph
- spanning tree
- densely connected
- artificial neural networks
- privacy preserving
- graph representation
- human computer interaction
- random walk
- graph model
- pattern recognition
- graph clustering
- privacy preserving data mining
- genetic algorithm
- structured data
- resource allocation
- directed acyclic graph
- fuzzy logic
- graph theory
- overlapping communities
- graph partitioning
- nodes of a graph
- random graphs
- tree structure
- differential privacy
- connected components
- betweenness centrality
- edge detection
- feed forward
- user interaction
- graphical models
- security issues
- privacy preservation
- complex networks
- private information
- neural network model
- graph databases
- sensitive information
- minimum cost
- edge detector
- recurrent neural networks