Topological based classification of paper domains using graph convolutional networks.
Idan BenamiKeren CohenOved NagarYoram LouzounPublished in: CoRR (2019)
Keyphrases
- classification accuracy
- machine learning
- decision trees
- feature space
- training set
- feature vectors
- graph representation
- connected components
- preprocessing stage
- real world
- restricted boltzmann machine
- fully connected
- small world
- classification rules
- classification method
- random walk
- text classification
- image classification
- support vector machine
- feature selection
- support vector machine svm
- unsupervised learning
- network structure
- graph structure
- feature extraction
- network size
- social networks