Graph alternate learning for robust graph neural networks in node classification.
Baoliang ZhangXiaoxin GuoZhenchuan TuJia ZhangPublished in: Neural Comput. Appl. (2022)
Keyphrases
- neural network
- directed graph
- graph structure
- pattern recognition
- supervised learning
- graph matching
- random walk
- learning process
- weighted graph
- graph theory
- neural nets
- transductive learning
- incremental learning
- active learning
- graph representation
- classification algorithm
- structured data
- graph model
- unsupervised learning
- text classification
- undirected graph
- feature selection
- directed acyclic graph
- social networks
- artificial neural networks
- graph mining
- learning rules
- learning phase
- connectionist systems
- bipartite graph
- back propagation
- support vector machine svm
- feature space
- reinforcement learning
- training data
- feature extraction
- learning algorithm
- machine learning