Hierarchical Pooling in Graph Neural Networks to Enhance Classification Performance in Large Datasets.
Hai Van PhamThanh Dat HoangPhilip MoorePublished in: Sensors (2021)
Keyphrases
- neural network
- pattern recognition
- uci machine learning repository
- uci repository
- pattern classification
- classification method
- learning vector quantization
- decision trees
- training dataset
- hierarchical classification
- image classification
- classification algorithm
- benchmark datasets
- support vector machine svm
- fuzzy logic
- multi layer perceptron
- classification scheme
- feature space
- support vector
- feature selection
- restricted boltzmann machine
- directed graph
- class labels
- machine learning
- supervised learning
- data sets
- random walk
- soft assignment
- preprocessing stage
- genetic algorithm
- artificial neural networks
- classification accuracy
- graph representation
- model selection
- text categorization
- training process
- weighted graph
- graph structure
- graph theory
- classification models
- machine learning algorithms
- back propagation
- hierarchical structure