On Generalization of Graph Autoencoders with Adversarial Training.
Tianjin HuangYulong PeiVlado MenkovskiMykola PechenizkiyPublished in: CoRR (2021)
Keyphrases
- graph representation
- feedforward neural networks
- denoising
- graph model
- restricted boltzmann machine
- graph structure
- learning machines
- graph theory
- multi agent
- training phase
- connected components
- graph matching
- graph mining
- training process
- bipartite graph
- neural network
- directed graph
- training examples
- training samples
- online learning
- supervised learning
- training algorithm
- random walk
- training data
- decision trees
- social networks
- graph construction
- machine learning