Boosting Graph Spectral Sparsification via Parallel Sparse Approximate Inverse of Cholesky Factor.
Baiyu ChenZhiqiang LiuYibin ZhangWenjian YuPublished in: ASPDAC (2024)
Keyphrases
- sparse matrix
- spectral decomposition
- gaussian graphical models
- parallel implementation
- graph theory
- weighted graph
- graph structure
- random walk
- normalized cut
- graph representation
- graph model
- laplacian matrix
- depth first search
- bipartite graph
- sparse representation
- feature selection
- gram matrix
- spectral methods
- least squares
- learning algorithm
- support vector
- high dimensional
- graph structures
- weak learners
- spectral analysis
- structured data
- graph partitioning
- cost sensitive
- factor analysis
- machine learning
- ensemble methods