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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...

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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

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