Imbalanced Nodes Classification for Graph Neural Networks Based on Valuable Sample Mining.
Min LiuSiwen JinLuo JinShuohan WangYu FangYuliang ShiPublished in: EITCE (2022)
Keyphrases
- neural network
- pattern recognition
- directed graph
- graph structure
- pattern classification
- machine learning
- class imbalance
- text classification
- weighted graph
- classification accuracy
- feature selection
- feature extraction
- random walk
- sequential patterns
- planar graphs
- training process
- spanning tree
- graph structures
- back propagation
- text mining
- supervised learning
- support vector machine
- feature vectors
- artificial neural networks
- training set
- decision trees
- data mining
- high dimensionality
- graph mining
- support vector
- rule extraction