Multi-Scale Aggregation Graph Neural Networks Based on Feature Similarity for Semi-Supervised Learning.
Xun ZhangLanyan YangBin ZhangYing LiuDong JiangXiaohai QinMengmeng HaoPublished in: Entropy (2021)
Keyphrases
- semi supervised learning
- label propagation
- neural network
- multiscale
- similarity graph
- graph based semi supervised learning
- semi supervised classification
- graph construction
- semi supervised
- unlabeled data
- labeled data
- supervised learning
- machine learning
- co training
- training data
- manifold regularization
- similarity measure
- graph laplacian
- unsupervised learning
- active learning
- semi supervised learning algorithms
- feature vectors
- transfer learning
- graph structure
- semi supervised clustering
- pattern recognition
- image processing
- learning models
- multi view
- metric learning
- spectral clustering
- semi supervised learning methods
- distance measure
- computer vision
- pairwise