BiMGCL: rumor detection via bi-directional multi-level graph contrastive learning
The rapid development of large language models has significantly reduced the cost of producing rumors, which brings a tremendous challenge to the authenticity of content on social media. Therefore, it has become crucially important to identify and detect rumors. Existing deep learning methods usuall...
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| Główni autorzy: | , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
PeerJ Inc.
2023-11-01
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| Seria: | PeerJ Computer Science |
| Hasła przedmiotowe: | |
| Dostęp online: | https://peerj.com/articles/cs-1659.pdf |
| Etykiety: |
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