Using Sparse Spectral Shifts in Graph CNNs.
Austin LinWendy SummerJohn ShiMark CheungJosé M. F. MouraPublished in: ACSCC (2021)
Keyphrases
- graph representation
- random walk
- spectral methods
- gaussian graphical models
- spectral decomposition
- bipartite graph
- directed acyclic
- cellular neural networks
- weighted graph
- graph theoretic
- high dimensional
- directed graph
- sparse representation
- graph theory
- laplacian matrix
- sparse data
- sparse matrix
- spectral analysis
- normalized cut
- compressive sensing
- graph databases
- graph structure
- structured data
- graph based algorithm
- bayesian networks
- spectral features
- face recognition
- graph laplacian
- compressed sensing
- graphical models
- graph matching
- sparse coding
- connected components