Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks.
Feng JiSee Hian LeeHanyang MengKai ZhaoJielong YangWee Peng TayPublished in: ICML (2023)
Keyphrases
- neural network
- pattern recognition
- graph structure
- directed graph
- feature vectors
- feature extraction
- classification accuracy
- class labels
- genetic algorithm
- graph representation
- weighted graph
- text classification
- machine learning
- classification algorithm
- random walk
- support vector machine
- supervised learning
- neural networks and support vector machines
- label propagation
- feature selection
- multi layer perceptron
- support vector
- classification method
- artificial neural networks
- tree structure
- back propagation
- fuzzy logic
- image classification
- training set
- neural network model
- feature space
- support vector machine svm
- learning vector quantization