Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs.
Naganand YadatiTingran GaoShahab AsoodehPartha P. TalukdarAnand LouisPublished in: PAKDD (1) (2021)
Keyphrases
- semi supervised learning
- neural network
- graph based semi supervised learning
- graph construction
- label propagation
- semi supervised classification
- semi supervised
- graph theory
- unlabeled data
- graph laplacian
- labeled data
- label propagation algorithm
- supervised learning
- unsupervised learning
- co training
- pattern recognition
- machine learning
- regularization framework
- active learning
- transfer learning
- improve the classification accuracy
- labeled and unlabeled data
- computer vision
- graph structure
- training data
- semi supervised learning algorithms
- semi supervised learning methods
- manifold regularization
- data points
- edge weights
- learning models
- semi supervised clustering
- feature selection
- random walk