4 papers
Detecting Credit Card Fraud via Heterogeneous Graph Neural Networks with Graph Attention
Qiuwu Sha, Tengda Tang, Xinyu Du +3
This study proposes a credit card fraud detection method based on Heterogeneous Graph Neural Network (HGNN) to address fraud in complex transaction networks. Unlike traditional mac…
Addressing Class Imbalance with Probabilistic Graphical Models and Variational Inference
Yujia Lou, Jie Liu, Yuan Sheng +3
This study proposes a method for imbalanced data classification based on deep probabilistic graphical models (DPGMs) to solve the problem that traditional methods have insufficient…
Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration
Yiwei Zhang, Jie Liu, Jiawei Wang +3
This paper proposes a data privacy protection framework based on federated learning, which aims to realize effective cross-domain data collaboration under the premise of ensuring d…
Context-Aware Rule Mining Using a Dynamic Transformer-Based Framework
Jie Liu, Yiwei Zhang, Yuan Sheng +3
This study proposes a dynamic rule data mining algorithm based on an improved Transformer architecture, aiming to improve the accuracy and efficiency of rule mining in a dynamic da…