A noise injection strategy for graph autoencoder training.
Yingfeng WangBiyun XuMyungjae KwakXiaoqin ZengPublished in: Neural Comput. Appl. (2021)
Keyphrases
- training process
- restricted boltzmann machine
- random walk
- graph theory
- graph representation
- training examples
- noise level
- directed graph
- noise reduction
- noisy data
- graph model
- noise model
- feedforward neural networks
- graph matching
- signal to noise ratio
- connected components
- missing data
- test set
- training samples
- online learning
- training and testing data
- random noise
- graph theoretic
- machine learning
- gaussian noise
- training algorithm
- bipartite graph
- knn
- training set
- bayesian networks