9 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.CR2024★ 1 cited
KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data
Andy Zhou, Xiaojun Xu, Ramesh Raghunathan +4
Graph-based anomaly detection is pivotal in diverse security applications, such as fraud detection in transaction networks and intrusion detection for network traffic. Standard app…
cs.LG2022★ 1 cited
EDoG: Adversarial Edge Detection For Graph Neural Networks
Xiaojun Xu, Yue Yu, Hanzhang Wang +3
Graph Neural Networks (GNNs) have been widely applied to different tasks such as bioinformatics, drug design, and social networks. However, recent studies have shown that GNNs are…
cs.LG2021★ 9 cited
Explainable Deep Behavioral Sequence Clustering for Transaction Fraud Detection
Wei Min, Weiming Liang, Hang Yin +3
In e-commerce industry, user behavior sequence data has been widely used in many business units such as search and merchandising to improve their products. However, it is rarely us…