Missing data imputation with adversarially-trained graph convolutional networks

Missing data imputation (MDI) is the task of replacing missing values in a dataset with alternative, predicted ones. Because of the widespread presence of missing data, it is a fundamental problem in many scientific disciplines. Popular methods for MDI use global statistics computed from the entire...

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Veröffentlicht in:	Neural networks 2020-09, Vol.129, p.249-260
Hauptverfasser:	Spinelli, Indro, Scardapane, Simone, Uncini, Aurelio
Format:	Artikel
Sprache:	eng
Schlagworte:	Convolutional network Graph data Graph neural network Imputation
Online-Zugang:	Volltext
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