Self-Consistent Graph Neural Networks for Semi-Supervised Node Classification.
Yanbei LiuShichuan ZhaoXiao WangLei GengZhitao XiaoJerry Chun-Wei LinPublished in: IEEE Trans. Big Data (2023)
Keyphrases
- neural network
- semi supervised
- semi supervised classification
- pattern recognition
- graph structure
- directed graph
- image classification
- supervised learning
- classification algorithm
- semi supervised learning
- training process
- artificial neural networks
- machine learning
- graph construction
- multi layer perceptron
- classification accuracy
- support vector machine
- genetic algorithm
- co training
- support vector
- graph theory
- support vector machine svm
- unsupervised learning
- random walk
- tree structure
- decision trees
- label propagation
- incremental learning
- undirected graph
- graph mining
- fuzzy logic
- labeled and unlabeled data
- label information
- pairwise constraints
- rule extraction
- feature extraction
- multi view
- feature vectors
- training data
- pattern classification
- neural network model
- feature space
- high dimensional
- self organizing maps