Generic Structure Extraction with Bi-Level Optimization for Graph Structure Learning

Currently, most Graph Structure Learning (GSL) methods, as a means of learning graph structure, improve the robustness of GNN merely from a local view by considering the local information related to each edge and indiscriminately applying the mechanism across edges, which may suffer from the local s...

Descripción completa

Detalles Bibliográficos
Autores principales: Yin, Nan, Luo, Zhigang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497895/
https://www.ncbi.nlm.nih.gov/pubmed/36141114
http://dx.doi.org/10.3390/e24091228

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497895/
https://www.ncbi.nlm.nih.gov/pubmed/36141114
http://dx.doi.org/10.3390/e24091228

Ejemplares similares