Robustness meets accuracy in adversarial training for graph autoencoder.
Xianchen ZhouKun HuHongxia WangPublished in: Neural Networks (2023)
Keyphrases
- computational efficiency
- high accuracy
- prediction accuracy
- structured data
- error rate
- training speed
- highly accurate
- random walk
- training and testing data
- graph theoretic
- training phase
- graph model
- bipartite graph
- training examples
- classification accuracy
- computational complexity
- online learning
- directed graph
- graph matching
- supervised learning
- computational cost
- hidden markov models
- pairwise
- feedforward neural networks
- computational speed
- machine learning