A Contrastive Variational Graph Auto-Encoder for Node Clustering.
Nairouz MrabahMohamed BouguessaRiadh KsantiniPublished in: CoRR (2023)
Keyphrases
- graph structure
- directed graph
- graph theoretic
- graph partitioning
- graph clustering
- clustering algorithm
- clustering method
- random walk
- graph model
- data clustering
- undirected graph
- dirichlet process mixture models
- k means
- hierarchical tree
- tree structure
- self organizing maps
- path length
- unsupervised learning
- edge weights
- image segmentation
- densely connected
- nodes of a graph
- overlapping communities
- community discovery
- graph construction
- normalized cut
- finding the shortest path
- graph representation
- directed acyclic graph
- weighted graph
- graph matching
- hierarchical clustering
- spectral clustering
- rate distortion
- small world
- graph theory
- root node
- low complexity
- document clustering
- graph layout
- structured data
- data points