Dirichlet Process Prior for Student’s t Graph Variational Autoencoders

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
Main Authors: Yuexuan Zhao, Jing Huang
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Future Internet
Subjects:
neural network
Bayesian nonparametric
Graph variational auto-encoder
Student’s t distribution
Dirichlet process
network representation learning
Online Access:https://www.mdpi.com/1999-5903/13/3/75

Internet

https://www.mdpi.com/1999-5903/13/3/75

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