Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification.
Gangbin ChenJunwei ChengWanying LiangChaobo HeYong TangPublished in: KSEM (4) (2023)
Keyphrases
- graph structure
- graph representation
- tree structure
- support vector machine svm
- structural learning
- transductive learning
- unsupervised learning
- classification method
- feature representation
- preprocessing
- pairwise
- classification accuracy
- support vector machine
- graph structures
- feature set
- classification algorithm
- neighborhood structure
- supervised learning
- active learning
- prior knowledge
- preprocessing stage
- training samples
- graph construction
- graph matching
- similarity measure
- learning algorithm
- point distribution
- vector representation
- structured data
- image classification
- feature vectors
- training process
- graph theory
- undirected graph
- stereo correspondence
- clustering method
- random walk
- probabilistic model
- reinforcement learning
- feature extraction
- machine learning