Multiresolution equivariant graph variational autoencoder

In this paper, we propose Multiresolution Equivariant Graph Variational Autoencoders (MGVAE), the first hierarchical generative model to learn and generate graphs in a multiresolution and equivariant manner. At each resolution level, MGVAE employs higher order message passing to encode the graph whi...

Full description

Bibliographic Details

Published in:	Machine learning: science and technology Vol. 4; no. 1; pp. 15031 - 15054
Main Authors:	Hy, Truong Son, Kondor, Risi
Format:	Journal Article
Language:	English
Published:	Bristol IOP Publishing 01.03.2023
Subjects:	Coarsening graph neural networks graph variational autoencoders Graphs hierarchical generative models Image processing Learning Message passing Molecular properties molecule generation Permutations supervised and unsupervised molecular representation learning
ISSN:	2632-2153, 2632-2153
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!