NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network.
Siyuan LuZiquan ZhuJuan Manuel GórrizShui-Hua WangYu-Dong ZhangPublished in: Int. J. Intell. Syst. (2022)
Keyphrases
- neural network
- learning vector quantization
- pattern recognition
- graph representation
- machine learning
- feature representation
- text classification
- decision trees
- vector representation
- classification accuracy
- support vector machine svm
- multi layer perceptron
- classification scheme
- support vector machine
- training process
- feature selection
- pattern classification
- classification method
- genetic algorithm
- probabilistic neural network
- unsupervised learning
- incremental learning
- class labels
- image representation
- back propagation
- random walk
- model selection
- feature extraction
- support vector
- feature vectors
- pairwise
- training patterns
- clustering algorithm
- graphical representation
- artificial neural networks
- knn
- graphical models
- graph structure
- image classification
- classification algorithm