Suspicious: a Resilient Semi-Supervised Framework for Graph Fraud Detection

B Giles, B Jeudy, C Largeron… - 2023 IEEE 35th …, 2023 - ieeexplore.ieee.org
Graph-based fraud detection is an important task in many real-world domains such as
insurance, finance, and cybersecurity. Even if existing semi-supervised models have proven …

Suspicious: a Resilient Semi-Supervised Framework for Graph Fraud Detection

B Giles, B Jeudy, C Largeron, D Saboul - 35th IEEE International …, 2023 - hal.science
Graph-based fraud detection is an important task in many real-world domains such as
insurance, finance, and cybersecurity. Even if existing semi-supervised models have proven …

Suspicious: a Resilient Semi-Supervised Framework for Graph Fraud Detection

B Giles, B Jeudy, C Largeron, D Saboul - 2023 IEEE 35th …, 2023 - computer.org
Graph-based fraud detection is an important task in many real-world domains such as
insurance, finance, and cybersecurity. Even if existing semi-supervised models have proven …

[PDF][PDF] Suspicious: a Resilient Semi-Supervised Framework for Graph Fraud Detection

B Giles, B Jeudy, C Largeron, D Saboul - hal.science
Graph-based fraud detection is an important task in many real-world domains such as
insurance, finance, and cybersecurity. Even if existing semi-supervised models have proven …