N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification.
Sami Abu-El-HaijaAmol KapoorBryan PerozziJoonseok LeePublished in: CoRR (2018)
Keyphrases
- semi supervised
- semi supervised classification
- multiscale
- supervised learning
- graph structure
- semi supervised learning
- pattern recognition
- unsupervised learning
- directed graph
- labeled and unlabeled data
- feature extraction
- graph theory
- unlabeled data
- labeled data
- classification accuracy
- co training
- support vector
- label propagation
- machine learning
- transductive learning
- classification algorithm
- class labels
- feature selection
- image processing
- support vector machine
- feature vectors
- face recognition
- feature space
- decision trees
- edge weights
- graph representation
- undirected graph
- supervised classification
- support vector machine svm
- weighted graph
- training set
- classification method
- multi view
- random walk