Matrix Decompositions and Sparse Graph Regularity.
Greg BodwinSantosh S. VempalaPublished in: CoRR (2019)
Keyphrases
- singular value decomposition
- adjacency matrix
- low rank and sparse
- singular vectors
- signal recovery
- coefficient matrix
- low rank approximation
- low rank matrices
- graph representation
- sparse matrix
- graph structure
- eigenvalues and eigenvectors
- sparse data
- high dimensional
- rank minimization
- graph matching
- graph mining
- graph model
- gaussian graphical models
- singular values
- weight matrix
- transition matrix
- directed graph
- weighted graph
- graph theory
- low rank
- tensor decomposition
- matrix decomposition
- binary matrices
- eigenvalue decomposition
- clustering algorithm
- directed acyclic
- matrix representation
- distance matrix
- graph clustering
- linear algebra
- similarity matrix
- dictionary learning
- convex optimization