Nearest Neighbours Graph Variational AutoEncoder

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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Bibliographic Details
Main Authors: Lorenzo Arsini, Barbara Caccia, Andrea Ciardiello, Stefano Giagu, Carlo Mancini Terracciano
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Algorithms
Subjects:
graph neural network
variational autoencoder
pooling
nearest neighbours
Online Access:https://www.mdpi.com/1999-4893/16/3/143

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