N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification.
Sami Abu-El-HaijaAmol KapoorBryan PerozziJoonseok LeePublished in: UAI (2019)
Keyphrases
- semi supervised
- semi supervised classification
- multiscale
- graph structure
- supervised learning
- directed graph
- classification accuracy
- transductive learning
- classification method
- labeled data
- unsupervised learning
- semi supervised learning
- classification algorithm
- label propagation
- image processing
- machine learning
- active learning
- pattern recognition
- feature extraction
- text classification
- subspace learning
- unlabeled data
- spanning tree
- random walk
- scale space
- label information
- labeled and unlabeled data
- support vector machine
- unlabeled samples
- feature selection
- edge weights
- graph representation
- semi supervised learning algorithms
- co training
- graph mining
- structured data
- training samples
- image classification
- graphical models
- edge detection
- decision trees
- clustering algorithm
- social networks
- learning algorithm