3 citations · 5 across the 4 of their papers we have counts for
4 papers
Navigating the Black Box: Leveraging LLMs for Effective Text-Level Graph Injection Attacks
Yuefei Lyu, Chaozhuo Li, Xi Zhang +1
Text-attributed graphs (TAGs) integrate textual data with graph structures, providing valuable insights in applications such as social network analysis and recommendation systems.…
Are Your Reviewers Being Treated Equally? Discovering Subgroup Structures to Improve Fairness in Spam Detection
Jiaxin Liu, Yuefei Lyu, Xi Zhang +1
User-generated reviews of products are vital assets of online commerce, such as Amazon and Yelp, while fake reviews are prevalent to mislead customers. GNN is the state-of-the-art…
Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection
Yuefei Lyu, Xiaoyu Yang, Jiaxin Liu +3
Social networks are frequently polluted by rumors, which can be detected by advanced models such as graph neural networks. However, the models are vulnerable to attacks and underst…
QSAN: A Quantum-probability based Signed Attention Network for Explainable False Information Detection
Tian Tian, Yudong Liu, Xiaoyu Yang +3
False information detection on social media is challenging as it commonly requires tedious evidence-collecting but lacks available comparative information. Clues mined from user co…