Heterophily-Based Graph Neural Network for Imbalanced Classification.
Zirui LiangYuntao LiTianjin HuangAkrati SaxenaYulong PeiMykola PechenizkiyPublished in: COMPLEX NETWORKS (1) (2023)
Keyphrases
- neural network
- learning vector quantization
- pattern recognition
- classification method
- machine learning
- decision trees
- classification algorithm
- image classification
- classification accuracy
- feature extraction
- class imbalance
- feature space
- support vector
- imbalanced datasets
- imbalanced data
- graph structure
- incremental learning
- pattern classification
- support vector machine svm
- class labels
- benchmark datasets
- training samples
- random walk
- fuzzy logic
- training set
- back propagation
- graph representation
- rule extraction
- support vector machine
- genetic algorithm
- imbalanced data sets