Missing data imputation with adversarially-trained graph convolutional networks

Indro Spinelli; Simone Scardapane; Aurelio Uncini

doi:10.1016/j.neunet.2020.06.005

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Missing data imputation with adversarially-trained graph convolutional networks

Indro Spinelli Simone Scardapane Aurelio Uncini

Year: 2020 Journal: Neural Networks Vol: 129 Pages: 249-260 Publisher: Elsevier BV

DOI: 10.1016/j.neunet.2020.06.005

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Keywords:

Computer science Imputation (statistics) Missing data Classifier (UML) Artificial intelligence Data mining Pattern recognition (psychology) Residual Graph Convolutional neural network Machine learning Algorithm Theoretical computer science

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Advanced Graph Neural Networks

Physical Sciences → Computer Science → Artificial Intelligence

Dementia and Cognitive Impairment Research

Health Sciences → Medicine → Psychiatry and Mental health

Privacy-Preserving Technologies in Data

Physical Sciences → Computer Science → Artificial Intelligence

Missing data imputation with adversarially-trained graph convolutional networks

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