Batch virtual adversarial training for graph convolutional networks.
Zhijie DengYinpeng DongJun ZhuPublished in: AI Open (2023)
Keyphrases
- average degree
- graph structure
- complex networks
- neural network
- batch mode
- bipartite graph
- echo state networks
- betweenness centrality
- virtual reality
- virtual environment
- graph model
- graph representation
- virtual world
- directed acyclic graph
- graph structures
- recurrent networks
- multi agent
- training set
- highly connected
- supervised learning
- random walk
- structured data
- graph data
- small world
- edge weights
- fully connected
- dynamic networks
- community discovery
- weighted graph
- connected components
- social networks
- overlapping communities
- directed edges
- graph theoretic
- spanning tree
- network analysis
- graph theory
- graph matching
- network structure
- augmented reality
- training examples
- active learning
- machine learning