Exploiting Interactivity and Heterogeneity for Sleep Stage Classification Via Heterogeneous Graph Neural Network.
Ziyu JiaYoufang LinYuhan ZhouXiyang CaiPeng ZhengQiang LiJing WangPublished in: ICASSP (2023)
Keyphrases
- sleep stage
- neural network
- pattern recognition
- sleep apnea
- learning vector quantization
- multi layer perceptron
- classification accuracy
- random walk
- structured data
- automatic classification
- training set
- feature extraction
- classification scheme
- e learning
- genetic algorithm
- pattern classification
- back propagation
- highly heterogeneous
- graph matching
- benchmark datasets
- classification method
- support vector machine svm
- support vector machine
- feature vectors
- feature selection
- machine learning
- incremental learning
- graph theory
- unsupervised learning
- text classification
- fuzzy logic
- probabilistic neural network
- data sets