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cs.SI2025
Towards Real-World Rumor Detection: Anomaly Detection Framework with Graph Supervised Contrastive Learning
Chaoqun Cui, Caiyan Jia
Current rumor detection methods based on propagation structure learning predominately treat rumor detection as a class-balanced classification task on limited labeled data. However…
cs.SI2025
Graph Representation Learning with Massive Unlabeled Data for Rumor Detection
Chaoqun Cui, Caiyan Jia
With the development of social media, rumors spread quickly, cause great harm to society and economy. Thereby, many effective rumor detection methods have been developed, among whi…