Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification.
Bingbing XuJunjie HuangLiang HouHuawei ShenJinhua GaoXueqi ChengPublished in: CoRR (2020)
Keyphrases
- semi supervised
- neural network
- semi supervised classification
- pattern recognition
- label propagation
- class labels
- label information
- graph structure
- classification accuracy
- machine learning
- supervised learning
- co training
- multi label classification
- multi view
- support vector
- global consistency
- incremental learning
- directed graph
- feature selection
- multi layer perceptron
- rule extraction
- neural networks and support vector machines
- multi label learning
- labeled and unlabeled data
- graph construction
- classification algorithm
- semi supervised learning
- text classification
- feature space
- training process
- feature vectors
- pairwise
- active learning
- finding the shortest path
- decision trees
- partially labeled
- feature extraction
- training set
- support vector machine
- random walk
- undirected graph
- multi label
- directed acyclic graph