2 papers
cs.LG2026
Graph Negative Feedback Bias Correction Framework for Adaptive Heterophily Modeling
Jiaqi Lv, Qingfeng Du, Yu Zhang +2
Graph Neural Networks (GNNs) have emerged as a powerful framework for processing graph-structured data. However, conventional GNNs and their variants are inherently limited by the…
cs.LG2026
Multi-Scale Adaptive Neighborhood Awareness Transformer For Graph Fraud Detection
Jiaqi Lv, Qingfeng Du, Yu Zhang +2
Graph fraud detection (GFD) is crucial for identifying fraudulent behavior within graphs, benefiting various domains such as financial networks and social media. Existing methods b…