The stacked sparse autoencoder is a powerful deep learning architecture composed of multiple autoencoder layers, with each layer responsible for extracting features at different levels.

To address these issues, we propose Multi-masks and Bi-spaces reconstruction based Single-Layer Heterogeneous graph AutoEncoder (MBS-HAE), which employs a single-layer masked autoencoder with only ...