Code classification with graph neural networks: Have you ever struggled to make it work?
Qingchen YuXin LiuQingguo ZhouJianwei ZhugeChunming WuPublished in: Expert Syst. Appl. (2023)
Keyphrases
- neural network
- pattern recognition
- classification accuracy
- automatic classification
- machine learning
- rule extraction
- incremental learning
- classification systems
- training process
- support vector machine svm
- training samples
- pattern classification
- image classification
- multi layer perceptron
- feature extraction
- genetic algorithm
- classification scheme
- graph theory
- learning vector quantization
- class labels
- neural networks and support vector machines
- artificial neural networks
- supervised learning
- decision trees
- benchmark datasets
- graph classification
- fuzzy decision trees
- face recognition
- semi supervised classification
- bayesian networks
- graph representation
- support vector
- feature space
- support vector machine
- graph structure
- dimensionality reduction
- bipartite graph
- neural nets
- classification models
- source code
- recurrent neural networks
- text classification
- radial basis function
- labeled data