Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification.
Bastian PfeiferHryhorii CheredaRoman MartinAnna SarantiSandra ClemensAnne-Christin HauschildTim BeißbarthAndreas HolzingerDominik HeiderPublished in: Bioinform. (2023)
Keyphrases
- ensemble learning
- generalization ability
- ensemble classifier
- neural network
- ensemble methods
- multiple classifiers
- weak learners
- pattern recognition
- ensemble feature selection
- individual classifiers
- base classifiers
- graph classification
- support vector
- feature selection
- negative correlation learning
- random forest
- base learners
- support vector machine svm
- support vector machine
- classification models
- concept drift
- decision trees
- majority voting
- feature extraction
- classifier ensemble
- genetic algorithm
- benchmark datasets
- machine learning methods
- image classification
- artificial neural networks
- random forests
- weighted voting
- bp neural network
- classification algorithm
- machine learning
- training process
- neural network model
- class labels
- training samples
- classification accuracy
- feature space
- learning algorithm