Learning Narrowband Graph Spectral Kernels for Graph Signal Estimation.
Osman Furkan KarGülce TurhanElif VuralPublished in: SIU (2022)
Keyphrases
- graph structure
- random walk
- graph theoretic
- structural learning
- support vector
- learning process
- structured data
- graph theory
- graph representation
- learning algorithm
- graph model
- graph data
- spanning tree
- graph partitioning
- weighted graph
- learning problems
- active learning
- graph kernels
- graph laplacian
- fully connected
- multiple kernel
- reinforcement learning