Imbalanced Nodes Classification for Graph Neural Networks Based on Valuable Sample Mining.
Min LiuSiwen JinLuo JinShuohan WangYu FangYuliang ShiPublished in: CoRR (2022)
Keyphrases
- neural network
- pattern recognition
- directed graph
- graph structure
- pattern classification
- classification accuracy
- class imbalance
- multi layer perceptron
- training process
- weighted graph
- support vector machine svm
- decision trees
- random walk
- quasi cliques
- nodes of a graph
- imbalanced data sets
- imbalanced datasets
- binary classification problems
- machine learning
- training samples
- text classification
- feature extraction
- support vector machine
- feature vectors
- feature selection
- classification algorithm
- training set
- root node
- single class
- graph structures
- active learning
- rule extraction
- nearest neighbour
- wireless sensor networks
- multi class
- supervised learning