An autoencoder is compared with five dimensionality reduction methods on one UCI dataset and reported to have the best reconstruction error, without error bars or released code.
GLMAE: Graph Representation Learning Method Combining Generative Learning and Masking Autoencoder,
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An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction
An autoencoder is compared with five dimensionality reduction methods on one UCI dataset and reported to have the best reconstruction error, without error bars or released code.