K-Graphs: An Algorithm for Graph Signal Clustering and Multiple Graph Learning.
Hesam AraghiMohammad SabbaqiMassoud Babaie-ZadehPublished in: IEEE Signal Process. Lett. (2019)
Keyphrases
- graph structure
- graph clustering
- graph construction
- graph partitioning
- graph model
- learning algorithm
- k means
- graph theoretic
- undirected graph
- random graphs
- graph based algorithm
- minimum spanning tree
- adjacency matrix
- weighted graph
- graph theoretical
- adjacency graph
- polynomial time complexity
- graph search
- fully connected
- spanning tree
- graph theory
- graph isomorphism
- inexact graph matching
- graph representation
- directed acyclic
- clustering method
- spectral embedding
- similarity graph
- directed graph
- dominating set
- maximum cardinality
- attributed graphs
- bipartite graph
- structural learning
- dense subgraphs
- subgraph mining
- hyper graph
- maximum clique
- vertex set
- subgraph isomorphism
- data clustering
- data points
- finding the shortest path
- connected subgraphs
- edge weights
- maximum common subgraph
- spectral decomposition
- np hard
- shortest path
- planar graphs
- maximal cliques
- connected components
- graph data