3 papers
cs.LG2025
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…
cs.LG2025
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…
cs.LG2025
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…