Node Classification Based on Non-symmetric Dependencies and Graph Neural Networks.
Emanuel DopaterMilos KudelkaPublished in: COMPLEX NETWORKS (2) (2022)
Keyphrases
- neural network
- pattern recognition
- classification accuracy
- graph structure
- learning vector quantization
- directed graph
- feature selection
- pattern classification
- image classification
- feature extraction
- automatic classification
- support vector machine svm
- dependency graph
- classification rules
- classification algorithm
- feature vectors
- random walk
- classification models
- support vector machine
- multi layer perceptron
- rule extraction
- decision trees
- fuzzy logic
- multi class
- weighted graph
- training process
- classification scheme
- graph representation
- edge weights
- feature space