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Rumor detection driven by graph attention capsule network on dynamic propagation structures
Rumor detection aims to judge the authenticity of posts on social media (such as Weibo and Twitter), which can effectively prevent the spread of rumors. While many recent rumor detection methods based on graph neural networks can be conducive to extracting the global features of rumors, each node of...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554865/ https://www.ncbi.nlm.nih.gov/pubmed/36247798 http://dx.doi.org/10.1007/s11227-022-04831-7 |