Matrix Completion with Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference

Conference Object

Abstract: Inferring air quality from a limited number of observations is an essential task for monitoring and

Palabras claves:

air quality inference, deep learning, graph-based matrix completion, variational graph autoen-coder

Autores:

Angel Lopez Aguirre, Deligiannis N., Do T.H., Minh Nguyen D., Panzica La Manna V., Pasveer F., Philips W., Tsiligianni E.

Fuentes:

scopus