Nearest Neighbours Graph Variational AutoEncoder
Graphs are versatile structures for the representation of many real-world data. Deep Learning on graphs is currently able to solve a wide range of problems with excellent results. However, both the generation of graphs and the handling of large graphs still remain open challenges. This work aims to...
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| Hlavní autoři: | , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI AG
2023-03-01
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| Edice: | Algorithms |
| Témata: | |
| On-line přístup: | https://www.mdpi.com/1999-4893/16/3/143 |
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