40 citations · 44 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection
Chaoqun Cui, Caiyan Jia
Rumor detection on social media has become increasingly important. Most existing graph-based models presume rumor propagation trees (RPTs) have deep structures and learn sequential…
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…
VGA: Vision and Graph Fused Attention Network for Rumor Detection
Lin Bai, Caiyan Jia, Ziying Song +1
With the development of social media, rumors have been spread broadly on social media platforms, causing great harm to society. Beside textual information, many rumors also use man…