Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs.
Alejandro Parada-MayorgaZhiyang WangAlejandro RibeiroPublished in: CoRR (2022)
Keyphrases
- blind source separation
- independent component analysis
- high dimensional
- graph theoretic
- dimensionality reduction
- high dimensionality
- deep learning
- graph matching
- sparse coding
- graph representation
- morphological operators
- graph databases
- data sets
- graph theory
- signal processing
- intrinsic dimensionality
- spectral analysis
- graph mining
- small size
- graph structures
- subgraph isomorphism
- spanning tree
- network architecture
- directed graph
- feature space
- pattern recognition
- feature selection