GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification.
Wen-Zhi LiChang-Dong WangHui XiongJian-Huang LaiPublished in: KDD (2023)
Keyphrases
- class imbalanced
- classification accuracy
- training set
- feature vectors
- training samples
- classification algorithm
- classification models
- data sets
- decision trees
- class imbalance
- support vector machine svm
- minority class
- sampling methods
- cross validation
- class labels
- supervised learning
- feature extraction
- feature selection
- prediction accuracy
- machine learning methods
- unsupervised learning
- generalization ability
- pairwise