When Do We Need Graph Neural Networks for Node Classification?
Sitao LuanChenqing HuaQincheng LuJiaqi ZhuXiao-Wen ChangDoina PrecupPublished in: COMPLEX NETWORKS (1) (2023)
Keyphrases
- neural network
- pattern recognition
- classification accuracy
- directed graph
- machine learning
- decision trees
- graph structure
- support vector
- learning vector quantization
- classification method
- tree structure
- classification algorithm
- model selection
- supervised learning
- feature vectors
- artificial neural networks
- feature selection
- incremental learning
- neural networks and support vector machines
- pattern classification
- classification models
- automatic classification
- graph model
- multi layer perceptron
- graph classification
- random walk
- text classification
- fuzzy logic
- feature space
- neural network model
- classification rules
- unsupervised learning
- image classification
- classification scheme
- training data
- feature extraction