Graph Entropy Minimization for Semi-supervised Node Classification.
Yi LuoGuangchun LuoKe QinAiguo ChenPublished in: CoRR (2023)
Keyphrases
- entropy minimization
- semi supervised
- semi supervised classification
- supervised learning
- graph structure
- classification accuracy
- unsupervised learning
- directed graph
- pattern recognition
- machine learning
- semi supervised learning algorithms
- co training
- classification algorithm
- labeled and unlabeled data
- labeled data
- training set
- semi supervised learning
- feature vectors
- support vector machine svm
- label information
- graph construction
- graph theory
- decision trees
- tree structure
- transductive learning
- unlabeled samples
- unlabeled data
- active learning
- support vector
- feature extraction
- spanning tree
- undirected graph
- graph representation
- decision boundary
- structured data
- training samples
- random walk
- overlapping communities
- fully supervised
- feature selection