Rumor Detection by Propagation Embedding Based on Graph Convolutional Network
Detecting rumors is an important task in preventing the dissemination of false knowledge within social networks. When a post is propagated in a social network, it typically contains four types of information: i) social interactions, ii) time of publishing, iii) content, and iv) propagation structure...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2021-03-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/125954164/view |