Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering.
Nairouz MrabahMohamed BouguessaRiadh KsantiniPublished in: IJCAI (2022)
Keyphrases
- graph theoretic
- graph structure
- directed graph
- graph clustering
- clustering method
- clustering algorithm
- similarity graph
- graph construction
- graph model
- image features
- data clustering
- nodes of a graph
- graph partitioning
- k means
- random walk
- betweenness centrality
- self organizing maps
- undirected graph
- spectral clustering
- feature vectors
- graph theory
- bipartite graph
- dirichlet process mixture models
- image segmentation
- low complexity
- document clustering
- information theoretic
- tree structure
- hierarchical clustering
- data points
- feature set
- overlapping communities
- vector representation
- bit rate
- normalized cut
- rate distortion
- cluster analysis
- edge weights
- unsupervised learning
- root node
- hierarchical tree
- directed acyclic graph
- similarity function
- optical flow
- finding the shortest path
- similarity measure