Privacy-Enhanced Graph Neural Network for Decentralized Local Graphs.
Xinjun PeiXiaoheng DengShengwei TianJianqing LiuKaiping XuePublished in: IEEE Trans. Inf. Forensics Secur. (2024)
Keyphrases
- neural network
- graph representation
- graph theory
- directed graph
- graph matching
- weighted graph
- graph construction
- graph structure
- labeled graphs
- graph databases
- graph mining
- series parallel
- graph theoretic
- adjacency matrix
- graph structures
- graph model
- graph classification
- dynamic graph
- graph clustering
- graph data
- graph search
- graph properties
- random graphs
- graph theoretical
- graph partitioning
- graph isomorphism
- undirected graph
- graph kernels
- inexact graph matching
- subgraph isomorphism
- maximum common subgraph
- reachability queries
- back propagation
- graph transformation
- graph representations
- minimum spanning tree
- real world graphs
- neighborhood graph
- spanning tree
- maximum cardinality
- structural pattern recognition
- bipartite graph
- planar graphs
- artificial neural networks
- connected graphs
- finding the shortest path
- edge weights
- evolving graphs
- graph layout
- directed acyclic
- multi agent
- knn
- bounded treewidth
- privacy preserving
- personal information
- sensitive information
- dense subgraphs
- connected dominating set
- distributed systems
- peer to peer
- structured data
- attributed graphs
- graph patterns
- adjacency graph
- maximum clique
- web graph
- polynomial time complexity
- random walk
- graph embedding
- topological information
- graph drawing
- massive graphs
- frequent subgraphs
- shortest path