Heterophily-Based Graph Neural Network for Imbalanced Classification.
Zirui LiangYuntao LiTianjin HuangAkrati SaxenaYulong PeiMykola PechenizkiyPublished in: CoRR (2023)
Keyphrases
- neural network
- pattern recognition
- learning vector quantization
- class imbalance
- text classification
- classification accuracy
- feature selection
- imbalanced data sets
- support vector
- feature vectors
- directed graph
- decision trees
- graph representation
- multi layer perceptron
- graph structure
- bipartite graph
- pattern classification
- classification method
- structured data
- image classification
- supervised learning
- classification algorithm
- self organizing maps
- neural network model
- support vector machine svm
- classification models
- training samples
- graph theory
- feature space
- fuzzy logic
- feature extraction
- preprocessing stage
- training set