Virtual Adversarial Training on Graph Convolutional Networks in Node Classification.
Ke SunZhouchen LinHantao GuoZhanxing ZhuPublished in: PRCV (1) (2019)
Keyphrases
- restricted boltzmann machine
- training phase
- training process
- graph structure
- directed graph
- training set
- training samples
- betweenness centrality
- classification accuracy
- overlapping communities
- pattern recognition
- machine learning
- support vector
- supervised learning
- graph theory
- heterogeneous social networks
- social networks
- decision trees
- feature vectors
- multi agent
- feature space
- neural network
- degree distribution
- edge weights
- multi layer perceptron
- support vector machine
- text classification
- classification algorithm
- shortest path
- support vector machine svm
- directed acyclic graph
- weighted graph
- path length
- small world networks
- feature selection
- random walk