A subspace constraint based approach for fast hierarchical graph embedding.
Minghe YuXu ChenXinhao GuHengyu LiuLun DuPublished in: World Wide Web (WWW) (2023)
Keyphrases
- graph embedding
- low dimensional
- dimensionality reduction
- subspace learning
- semi supervised dimensionality reduction
- principal component analysis
- data representation
- high dimensional
- high dimensional data
- manifold learning
- discriminant embedding
- semi supervised
- discriminant analysis
- unsupervised learning
- discriminant information
- pattern recognition
- feature representation
- feature space
- data points
- dictionary learning
- active learning
- feature extraction
- pairwise constraints
- geometric properties
- linear discriminant analysis
- data sets
- labeled data
- text classification