Semi-supervised Graph Embedding for Multi-label Graph Node Classification.
Kaisheng GaoJing ZhangCangqi ZhouPublished in: WISE (2019)
Keyphrases
- graph embedding
- semi supervised
- multi label classification
- multi label
- class labels
- label information
- image classification
- semi supervised learning
- supervised learning
- unlabeled data
- text classification
- text categorization
- labeled data
- label propagation
- unsupervised learning
- dictionary learning
- graph cuts
- directed graph
- pairwise
- low dimensional
- sparse coding
- co training
- classification algorithm
- subspace learning
- feature representation
- graph structure
- active learning
- discriminant analysis
- classification accuracy
- image annotation
- data representation
- pairwise constraints
- pattern recognition
- training set
- decision trees
- labeled examples
- feature selection
- training data
- support vector
- sparse representation
- machine learning
- feature vectors
- metric learning
- binary classification
- dimension reduction
- binary classifiers
- face recognition
- prior knowledge
- feature set