Unsupervised Heterogeneous Graph Rewriting Attack via Node Clustering.
Haosen WangCan XuChenglong ShiPengfei ZhengShiming ZhangMinhao ChengHongyang ChenPublished in: KDD (2024)
Keyphrases
- graph structure
- unsupervised learning
- graph theoretic
- directed graph
- clustering algorithm
- graph clustering
- agglomerative clustering
- graph partitioning
- clustering method
- normalized cut
- k means
- unsupervised classification
- unsupervised manner
- information bottleneck
- rewriting systems
- data clustering
- graph model
- hierarchical clustering
- random walk
- unsupervised clustering
- unsupervised feature selection
- nodes of a graph
- undirected graph
- cluster analysis
- graph databases
- data points
- overlapping communities
- cluster validation
- semi supervised
- self organizing maps
- graph layout
- completely unsupervised
- densely connected
- betweenness centrality
- attack graph
- rewriting rules
- supervised learning
- information theoretic
- spectral clustering
- countermeasures
- graph theory
- conjunctive queries
- image segmentation
- finding the shortest path
- supervised classification
- spanning tree
- community detection
- malicious nodes
- tree structure
- secret key
- hierarchical tree
- document clustering
- graph construction
- graph mining