JOURNAL ARTICLE
Edge-Variational Graph Neural Networks: Harnessing Weak Ties for Enhanced Default Risk Prediction
Feng ZhangJianfeng ChiRui MaGang ChenChen Rong-qi
Year: 2025 Pages: 6242-6249
Keywords:
Metrics
0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
26
Refs
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Topics
Related Documents
JOURNAL ARTICLE
P2P Lending Default Risk Prediction Using Attention-Enhanced Graph Neural Networks
Journal: Journal of Advanced Computing Systems Year: 2023 Vol: 3 (11)Pages: 8-20
JOURNAL ARTICLE
Corporate default risk prediction model based on graph neural networks
Journal: Journal of fintech and business analysis. Year: 2025 Vol: 2 (2)Pages: 10-14
JOURNAL ARTICLE
Disease prediction with edge-variational graph convolutional networks
Yongxiang HuangAlbert C. S. Chung
Journal: Medical Image Analysis Year: 2022 Vol: 77 Pages: 102375-102375
JOURNAL ARTICLE
Research on Loan Default Risk Prediction Methods Based on Graph Neural Networks
Haonan ChenShuhong LiZhang HuidangHeng ZhangYoucai Liang
Year: 2024 Pages: 79-83
JOURNAL ARTICLE
Harnessing Attention-Based Graph Recurrent Neural Networks for Enhanced Conversational Flow Prediction via Conversational Graph Construction
Journal: Journal of Information & Knowledge Management Year: 2024 Vol: 23 (03)