PI-GNN: A Novel Perspective on Semi-Supervised Node Classification against Noisy Labels.
Xuefeng DuTian BianYu RongBo HanTongliang LiuTingyang XuWenbing HuangJunzhou HuangPublished in: CoRR (2021)
Keyphrases
- semi supervised
- fully supervised
- unlabeled samples
- label information
- class labels
- partially labeled data
- supervised learning
- weakly supervised
- semi supervised classification
- label propagation
- pattern recognition
- training set
- labeled data
- feature vectors
- feature extraction
- machine learning
- multi label classification
- semi supervised learning algorithms
- multi label learning
- decision trees
- support vector
- pairwise
- unlabeled data
- classification accuracy
- classification algorithm
- classification method
- classification models
- co training
- semi supervised learning
- pairwise constraints
- unsupervised learning
- category labels
- multi view
- image classification
- labeled samples
- labeling process
- support vector machine svm
- partially labeled
- pattern classification
- support vector machine
- active learning
- training data
- feature selection