Kernel-based Joint Multiple Graph Learning and Clustering of Graph Signals.
Mohamad H. AlizadeAref EinizadePublished in: CoRR (2023)
Keyphrases
- graph theoretic
- learning algorithm
- graph theory
- graph representation
- graph model
- graph structure
- online learning
- random walk
- unsupervised learning
- learning systems
- graph matching
- learning process
- graph mining
- graph clustering
- connected components
- directed graph
- supervised learning
- structural learning
- multi task learning
- graph data
- multiple tasks
- graph partitioning
- combining multiple
- graph databases
- weighted graph
- kernel methods
- clustering method
- data points
- social networks