Scalable Graph Convolutional Variational Autoencoders

Unyi, Dániel and Gyires-Tóth, Bálint (2021) Scalable Graph Convolutional Variational Autoencoders. In: Proceedings of International Symposium on Applied Computational Intelligence and Informatics ( SACI). IEEE, Manhattan (NY), pp. 1-6. ISBN 978-1-7281-9544-5 (electronic); 978-1-7281-9545-2 (online)

Text
C9-ieee-scaleable-vae-2021.pdf
Restricted to Repository staff only
Download (242kB) | Request a copy

Official URL: https://doi.org/10.1109/SACI51354.2021.9465579

Item Type:	Book Section
Subjects:	Q Science / természettudomány > QA Mathematics / matematika > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
SWORD Depositor:	MTMT SWORD
Depositing User:	MTMT SWORD
Date Deposited:	29 Sep 2021 09:31
Last Modified:	29 Sep 2021 09:31
URI:	http://real.mtak.hu/id/eprint/131398

Actions (login required)

Edit Item

Repository of the Academy's Library is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.