Graph Autoencoder with Preserving Node Attribute Similarity

The graph autoencoder (GAE) is a powerful graph representation learning tool in an unsupervised learning manner for graph data. However, most existing GAE-based methods typically focus on preserving the graph topological structure by reconstructing the adjacency matrix while ignoring the preservatio...

Descripción completa

Detalles Bibliográficos
Autores principales: Lin, Mugang, Wen, Kunhui, Zhu, Xuanying, Zhao, Huihuang, Sun, Xianfang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138145/
https://www.ncbi.nlm.nih.gov/pubmed/37190356
http://dx.doi.org/10.3390/e25040567

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138145/
https://www.ncbi.nlm.nih.gov/pubmed/37190356
http://dx.doi.org/10.3390/e25040567

Ejemplares similares