ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification.
Liang ZengLanqing LiZiqi GaoPeilin ZhaoJian LiPublished in: AAAI (2023)
Keyphrases
- supervised learning
- unsupervised learning
- learning algorithm
- incremental learning
- graph structure
- learning process
- text classification
- learning phase
- machine learning
- decision trees
- classification accuracy
- image classification
- training set
- classification algorithm
- feature selection
- imbalanced data sets
- knn
- feature vectors
- random walk
- training samples
- learning problems
- pattern recognition
- graph theory
- discriminative learning