3 papers
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
Social Network User Profiling for Anomaly Detection Based on Graph Neural Networks
Yiwei Zhang
This study proposes a risk pricing anomaly detection method for social network user portraits based on graph neural networks (GNNs), aiming to improve the ability to identify abnor…
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…