LAUSR

Continuous Latent Spaces Sampling for Graph Autoencoder

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0 Published in 2023 at "Applied Sciences"

DOI: 10.3390/app13116491

Abstract: This paper proposes colaGAE, a self-supervised learning framework for graph-structured data. While graph autoencoders (GAEs) commonly use graph reconstruction as a pretext task, this simple approach often yields poor model performance. To address this issue,… read more here.

Keywords: pretext task; graph; latent space; continuous latent ... See more keywords