On Generalization of Graph Autoencoders with Adversarial Training.
Tianjin HuangYulong PeiVlado MenkovskiMykola PechenizkiyPublished in: ECML/PKDD (2) (2021)
Keyphrases
- denoising
- random walk
- feedforward neural networks
- training set
- connected components
- graph representation
- training process
- test set
- restricted boltzmann machine
- data sets
- learning machines
- graph structure
- multi agent
- structured data
- bipartite graph
- graph theory
- graph model
- graph theoretic
- graph structures
- training examples
- np complete
- training algorithm
- decision trees
- image processing
- machine learning
- training error
- data mining