Z Q Liu
Biographic Data
| ID | 8087606 |
|---|---|
| NAME | Z Q Liu |
| GIVEN NAMES | Z Q |
| FAMILY NAME | Liu |
| SIGNATURE | LIU Z Q |
| AFFILIATIONS | Shanghai University of Engineering Science |
| ORCID | 0009-0009-0526-3612 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
A Robust Graph Fraud Detection Model Based on Adversarial Reweighting
Graph-based fraud detection has gained significant attention due to its effectiveness in risk management. Recent approaches utilizing graph neural networks highlight the benefits of representing nodes through aggregating homogeneous neighbors. However, in real-world situations, fraudsters disguise their activities by forming connections with benign entities, leading to limitations in the homogeneous aggregation method. Because combining represent…
No prominent works on this page.
A Robust Graph Fraud Detection Model Based on Adversarial Reweighting
Graph-based fraud detection has gained significant attention due to its effectiveness in risk management. Recent approaches utilizing graph neural networks highlight the benefits of representing nodes through aggregating homogeneous neighbors. However, in real-world situations, fraudsters disguise their activities by forming connections with benign entities, leading to limitations in the homogeneous aggregation method. Because combining represent…
Adversarial system (1 work) · Artificial Intelligence (1 work) · Computer Science (1 work) · Computer security (1 work) · Graph (1 work) · Graph theory (1 work) · Imbalanced Data Classification Techniques (1 work) · Machine learning (1 work) · Mathematics (1 work) · Theoretical Computer Science (1 work)