Voucher abuse detection with prompt-based fine-tuning on graph neural networks

• Main Authors: WEN, Zhihao, FANG, Yuan, LIU, Yihan, GUO, Yang, HAO, Shuji
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: anomaly detection; graph neural networks; pre-training; prompt; Artificial Intelligence and Robotics
• Online Access: https://ink.library.smu.edu.sg/sis_research/8251; https://ink.library.smu.edu.sg/context/sis_research/article/9254/viewcontent/CIKM23_VPGNN.pdf
• Institution: Singapore Management University

Voucher abuse detection is an important anomaly detection problem in E-commerce. While many GNN-based solutions have emerged, the supervised paradigm depends on a large quantity of labeled data. A popular alternative is to adopt self-supervised pre-training using label-free data, and further fine-tu...