Dirichlet Process Prior for Student’s t Graph Variational Autoencoders

Graph variational auto-encoder (GVAE) is a model that combines neural networks and Bayes methods, capable of deeper exploring the influential latent features of graph reconstruction. However, several pieces of research based on GVAE employ a plain prior distribution for latent variables, for instanc...

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Bibliographic Details
Published in:	Future internet Vol. 13; no. 3; p. 75
Main Authors:	Zhao, Yuexuan, Huang, Jing
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.03.2021
Subjects:	Airports Bayesian nonparametric Coders Complexity Dirichlet problem Dirichlet process Flexibility Graph variational auto-encoder Internet Keywords network representation learning neural network Neural networks Nonparametric statistics Normal distribution Probability distribution Student’s t distribution Variables
ISSN:	1999-5903, 1999-5903
Online Access:	Get full text
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