Pseudo-Labeling with Graph Active Learning for Few-shot Node Classification

Keyphrases

• Graph Learning 100%
• Pseudo-labeling 100%
• Graph Neural Network 66%
• Node Classification 66%
• Classification Accuracy 33%
• Classification Model 33%
• Unlabeled Data 33%
• Real-world Application 33%
• Model Effectiveness 33%
• Data Augmentation 33%
• Multilevel Data 33%
• Large Margin 33%
• Regular Graph 33%
• Citation Network 33%
• Consistency Regularization 33%
• Limited Labeled Data 33%
• Few-shot Classification 33%
• Contrastive Regularization 33%

Computer Science

• Active Learning 100%
• Node Classification 100%
• Graph Neural Network 50%
• Classification Models 25%
• Data Structure 25%
• Unlabeled Data 25%
• World Application 25%
• Content Analysis 25%
• Regularization 25%
• Classification Accuracy 25%
• Application Scenario 25%
• Citation Network 25%
• Data Augmentation 25%