Nia-GNNs: neighbor-imbalanced aware graph neural networks for imbalanced node classification.
Yanfeng SunYujia WangShaofan WangPublished in: Appl. Intell. (2024)
Keyphrases
- class imbalance
- neural network
- pattern recognition
- imbalanced datasets
- imbalanced data sets
- imbalanced data
- binary classification problems
- graph structure
- directed graph
- cost sensitive learning
- single class
- classification accuracy
- machine learning
- text classification
- class distribution
- decision trees
- pattern classification
- cost sensitive
- sampling methods
- classification models
- support vector machine svm
- feature selection
- support vector machine
- feature extraction
- class imbalanced
- class labels
- multi class problems
- artificial neural networks
- supervised learning
- feature space
- minority class
- support vector
- training data
- rule extraction
- root node
- multi layer perceptron
- imbalanced class distribution
- nodes of a graph