600 citations · 1.6k across the 17 of their papers we have counts for
6 papers · 1 filter
Attacking Fake News Detectors via Manipulating News Social Engagement
Haoran Wang, Yingtong Dou, Canyu Chen +3
Social media is one of the main sources for news consumption, especially among the younger generation. With the increasing popularity of news consumption on various social media pl…
ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation
Liangwei Yang, Zhiwei Liu, Yingtong Dou +2
Social recommendation aims to fuse social links with user-item interactions to alleviate the cold-start problem for rating prediction. Recent developments of Graph Neural Networks…
User Preference-aware Fake News Detection
Yingtong Dou, Kai Shu, Congying Xia +2
Disinformation and fake news have posed detrimental effects on individuals and society in recent years, attracting broad attention to fake news detection. The majority of existing…
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
Yingtong Dou, Zhiwei Liu, Li Sun +3
Graph Neural Networks (GNNs) have been widely applied to fraud detection problems in recent years, revealing the suspiciousness of nodes by aggregating their neighborhood informati…
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection
Zhiwei Liu, Yingtong Dou, Philip S. Yu +2
The graph-based model can help to detect suspicious fraud online. Owing to the development of Graph Neural Networks~(GNNs), prior research work has proposed many GNN-based fraud de…
Robust Spammer Detection by Nash Reinforcement Learning
Yingtong Dou, Guixiang Ma, Philip S. Yu +1
Online reviews provide product evaluations for customers to make decisions. Unfortunately, the evaluations can be manipulated using fake reviews ("spams") by professional spammers,…