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...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
IOP Publishing
2023-01-01
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| Schriftenreihe: | Machine Learning: Science and Technology |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1088/2632-2153/acc0d8 |
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