133 citations · 143 across the 4 of their papers we have counts for
4 papers
Empowering Credit Risk Detection in Weixin Pay with Billion-Scale Deep Graph Learning
Xin Liu, Xiyuan Chen, Chenglong Wu +3
Credit risk detection, particularly mitigating individual fraud, is crucial for maintaining the stability of digital financial ecosystems. Accurately identifying credit fraud among…
Effective High-order Graph Representation Learning for Credit Card Fraud Detection
Yao Zou, Dawei Cheng
Credit card fraud imposes significant costs on both cardholders and issuing banks. Fraudsters often disguise their crimes, such as using legitimate transactions through several ben…
Graph Neural Networks for Financial Fraud Detection: A Review
Dawei Cheng, Yao Zou, Sheng Xiang +1
The landscape of financial transactions has grown increasingly complex due to the expansion of global economic integration and advancements in information technology. This complexi…
Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection
Rui Zhang, Dawei Cheng, Xin Liu +4
Graph-based anomaly detection is currently an important research topic in the field of graph neural networks (GNNs). We find that in graph anomaly detection, the homophily distribu…