Deep k-Means Clustering Based on Graph Neural Networks: Leveraging Cohesion and Separation in Graph Nodes.
Hyesoo ShinKi Yong LeePublished in: BigComp (2024)
Keyphrases
- graph structure
- neural network
- directed graph
- graph representation
- weighted graph
- graph theoretic
- k means
- random graphs
- graph matching
- undirected graph
- graph model
- graph theory
- graph structures
- planar graphs
- attributed graphs
- dominating set
- graph databases
- spanning tree
- random walk
- pattern recognition
- genetic algorithm
- graph partitioning
- directed acyclic graph
- bipartite graph
- small world
- path length
- shortest path
- maximum flow
- clustering algorithm
- average degree