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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| Auteur principal: | |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Editorial Office of Computer Engineering
2025-08-01
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| Collection: | Jisuanji gongcheng |
| Sujets: | |
| Accès en ligne: | https://www.ecice06.com/fileup/1000-3428/PDF/jsjgc-51-8-181.pdf |
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