GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification.
Wen-Zhi LiChang-Dong WangHui XiongJian-Huang LaiPublished in: CoRR (2023)
Keyphrases
- class imbalanced
- training samples
- classification accuracy
- decision trees
- minority class
- feature space
- training set
- feature selection
- instance selection
- pattern classification
- preprocessing
- feature vectors
- decision rules
- support vector machine
- support vector machine svm
- machine learning
- feature extraction
- support vector
- data sets
- text classification
- training data
- decision boundary
- class imbalance
- classification models
- classification algorithm
- unsupervised learning
- data points
- class distribution
- cross validation
- training dataset
- text mining
- feature set
- unlabeled data