Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks.
Tianxiang ZhaoXiang ZhangSuhang WangPublished in: CoRR (2022)
Keyphrases
- neural network
- pattern recognition
- imbalanced data
- graph structure
- classification accuracy
- class imbalance
- classification models
- decision trees
- imbalanced datasets
- directed graph
- classification algorithm
- machine learning
- minority class
- graph theory
- pattern classification
- class labels
- support vector machine
- support vector machine svm
- feature extraction
- support vector
- text classification
- cost sensitive
- image classification
- back propagation
- feature space
- multi layer perceptron
- nearest neighbour
- feature vectors
- neural networks and support vector machines
- imbalanced data sets
- rule extraction
- undirected graph
- artificial neural networks
- random walk
- training samples
- tree structure
- structured data