Deep Self-Supervised Graph Attention Convolution Autoencoder for Networks Clustering.
Chao ChenHu LuHaotian HongHai WangShaohua WanPublished in: IEEE Trans. Consumer Electron. (2023)
Keyphrases
- graph theoretic
- graph layout
- graph clustering
- graph partitioning
- community discovery
- clustering method
- directed graph
- clustering algorithm
- average degree
- edge weights
- graph model
- structured data
- hierarchical clustering
- graph theory
- graph structure
- k means
- graph representation
- similarity matrix
- graph construction
- social networks
- bipartite graph
- weighted graph
- fully connected
- random walk
- small world
- social graphs
- graph structures
- cluster structure
- dynamic networks
- directed edges
- densely connected
- visual attention
- deep learning
- unsupervised learning
- self organizing maps
- cluster analysis
- directed acyclic graph
- community detection
- normalized cut
- shortest path
- degree distribution
- overlapping communities
- betweenness centrality
- fuzzy clustering
- data clustering