Heterogeneous graph neural network algorithm based on topology information enhancement

Existing heterogeneous graph neural network algorithms primarily focus on node attribute information, utilizing attention mechanisms to distinguish node importance. However, such methods have limitations in capturing complete topological information and node feature diversity. To address these issue...

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Autors principals:	YAO Bowu, DENG Kun, WEI Zhenhua, WU Tong, LIU Xingyan
Format:	Artigo
Idioma:	Chinês
Publicat:	Beijing Xintong Media Co., Ltd 2025-12-01
Col·lecció:	Dianxin kexue
Matèries:	heterogeneous graph graph neural network graph embedding attention mechanism
Accés en línia:	http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2025208/
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