Multi-Feature Fusion Rumor Detection Model MFLAN Based on Improved Graph Attention Network

Traditional Graph Neural Network (GNN) models cannot model complex relationships between nodes and exhibit weak performance in handling large-scale graphs. They are unable to effectively extract representative subgraphs from large-scale graphs, which consequently leads to a low accuracy in both trai...

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Opis bibliograficzny

1. autor:	MA Manfu, CHEN Jiahao, LI Yong, ZHANG Cong
Format:	Artigo
Język:	Inglês
Wydane:	Editorial Office of Computer Engineering 2025-08-01
Seria:	Jisuanji gongcheng
Hasła przedmiotowe:	rumor detection|sina weibo|information dissemination|feature fusion|graph attention network (gat)
Dostęp online:	https://www.ecice06.com/fileup/1000-3428/PDF/jsjgc-51-8-181.pdf
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