Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification.
Kaisheng GaoJing ZhangCangqi ZhouPublished in: CoRR (2019)
Keyphrases
- graph embedding
- semi supervised
- multi label classification
- multi label
- class labels
- semi supervised learning
- label information
- image classification
- labeled data
- text classification
- supervised learning
- unlabeled data
- text categorization
- label propagation
- unsupervised learning
- graph structure
- discriminant analysis
- dimensionality reduction
- dictionary learning
- pairwise
- graph cuts
- data representation
- feature representation
- co training
- classification algorithm
- feature extraction
- pattern recognition
- image annotation
- low dimensional
- subspace learning
- sparse coding
- binary classification
- active learning
- data sets
- dimension reduction
- metric learning
- feature vectors
- labeled examples
- directed graph
- transfer learning
- decision trees
- support vector
- pairwise constraints
- classification accuracy
- principal component analysis
- cost sensitive