Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification.
Bingbing XuJunjie HuangLiang HouHuawei ShenJinhua GaoXueqi ChengPublished in: SIGIR (2020)
Keyphrases
- semi supervised
- neural network
- pattern recognition
- semi supervised classification
- label propagation
- class labels
- label information
- supervised learning
- semi supervised learning
- graph structure
- machine learning
- labeled data
- training process
- directed graph
- graph construction
- multi label classification
- unsupervised learning
- image classification
- multi layer perceptron
- labeled and unlabeled data
- multi label
- partially labeled
- incremental learning
- multi view
- feature selection
- decision trees
- labeling process
- pattern classification
- multi label learning
- tree structure
- self organizing maps
- unlabeled samples
- unlabeled data
- path length
- overlapping communities
- edge weights
- undirected graph
- co training
- weighted graph
- classification algorithm
- random walk
- text classification
- k means
- feature vectors
- feature space
- support vector
- feature extraction