Semi-Supervised Classification on Non-Sparse Graphs Using Low-Rank Graph Convolutional Networks.
Dominik AlfkeMartin StollPublished in: CoRR (2019)
Keyphrases
- semi supervised classification
- low rank
- semi supervised
- graph construction
- low rank matrix
- rank minimization
- semi supervised learning
- unlabeled data
- labeled data
- sparse coding
- pairwise
- linear combination
- active learning
- matrix completion
- matrix factorization
- convex optimization
- low rank and sparse
- high dimensional data
- singular value decomposition
- supervised learning
- missing data
- kernel matrix
- pairwise constraints
- graph matching
- unsupervised learning
- high dimensional
- weighted graph
- complex networks
- adjacency matrix
- protein interaction networks
- metric learning
- network structure
- singular values
- pattern recognition
- machine learning
- data sets