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...

Full description

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

Internet

https://www.mdpi.com/1999-4893/16/3/143

Similar Items