Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks.
Feng JiSee Hian LeeHanyang MengKai ZhaoJielong YangWee Peng TayPublished in: CoRR (2023)
Keyphrases
- neural network
- pattern recognition
- graph structure
- directed graph
- class labels
- classification accuracy
- machine learning
- pattern classification
- image classification
- learning vector quantization
- feature space
- feature selection
- support vector machine
- supervised learning
- support vector
- decision trees
- rule extraction
- multi layer perceptron
- training process
- nodes of a graph
- structured data
- support vector machine svm
- random walk
- feature vectors
- tree structure
- back propagation
- weighted graph
- unsupervised learning
- graph mining
- fuzzy logic
- multi label classification
- overlapping communities
- neural networks and support vector machines
- feature extraction