Self-supervised Graph Neural Networks via Low-Rank Decomposition.
Liang YangRunjie ShiQiuliang ZhangBingxin NiuZhen WangXiaochun CaoChuan WangPublished in: NeurIPS (2023)
Keyphrases
- robust principal component analysis
- low rank
- low rank and sparse
- neural network
- convex optimization
- missing data
- matrix factorization
- low rank matrix
- tensor decomposition
- rank minimization
- linear combination
- matrix completion
- singular value decomposition
- semi supervised
- matrix decomposition
- high order
- kernel matrix
- pattern recognition
- high dimensional data
- graph representation
- singular values
- affinity matrix
- graph partitioning
- graph construction
- minimization problems
- binary matrix
- non rigid structure from motion
- low rank matrices
- weighted graph
- collaborative filtering
- data mining
- multiscale
- machine learning
- graph matching
- data analysis
- data sets