A contrastive variational graph auto-encoder for node clustering.
Nairouz MrabahMohamed BouguessaRiadh KsantiniPublished in: Pattern Recognit. (2024)
Keyphrases
- graph structure
- directed graph
- graph clustering
- graph theoretic
- k means
- clustering method
- graph model
- clustering algorithm
- unsupervised learning
- image segmentation
- data clustering
- graph partitioning
- optical flow
- weighted graph
- edge weights
- rate distortion
- undirected graph
- hierarchical clustering
- dirichlet process mixture models
- bipartite graph
- graph theory
- normalized cut
- densely connected
- graph matching
- connected components
- tree structure
- bit rate
- random walk
- graphical models
- document clustering
- graph representation
- self organizing maps
- variational methods
- spectral methods
- root node
- image quality
- graph layout