Virtual Adversarial Training on Graph Convolutional Networks in Node Classification.
Ke SunHantao GuoZhanxing ZhuZhouchen LinPublished in: CoRR (2019)
Keyphrases
- training set
- graph structure
- training process
- supervised learning
- training phase
- overlapping communities
- support vector
- classification accuracy
- directed graph
- path length
- restricted boltzmann machine
- decision trees
- random walk
- training samples
- betweenness centrality
- social networks
- machine learning
- small world
- feature vectors
- text classification
- training examples
- tree structure
- edge weights
- bipartite graph
- class labels
- pattern recognition
- classification algorithm
- virtual reality
- network analysis
- neural network
- directed acyclic graph
- support vector machine svm
- multi layer perceptron
- image classification
- multi agent
- graph structures
- training data
- feature extraction
- feature selection
- finding the shortest path