LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity.
Yuhan ChenYihong LuoJing TangLiang YangSiya QiuChuan WangXiaochun CaoPublished in: CoRR (2023)
Keyphrases
- neural network
- pattern recognition
- learning vector quantization
- graph structure
- special case
- directed graph
- binary decision tree
- similarity measure
- classification algorithm
- decision trees
- nearest neighbour
- multi layer perceptron
- classification accuracy
- machine learning
- classification method
- support vector
- distance measure
- fuzzy logic
- graph matching
- text classification
- random walk
- support vector machine svm
- image classification
- pattern classification
- feature extraction
- graph representation
- training process
- genetic algorithm
- probabilistic neural network
- clustering algorithm
- graph model
- directed acyclic graph
- artificial neural networks
- graph theory
- feature vectors
- distance metric
- self organizing maps