Q
Quan Yu
Publications - 10
Citations - 404
Quan Yu is an academic researcher. The author has contributed to research in topics: Credit limit & Graph (abstract data type). The author has an hindex of 5, co-authored 10 publications receiving 107 citations.
Papers
More filters
Proceedings ArticleDOI
A Semi-Supervised Graph Attentive Network for Financial Fraud Detection
Daixin Wang,Yuan Qi,Jianbin Lin,Peng Cui,Quanhui Jia,Wang Zhen,Yanming Fang,Quan Yu,Jun Zhou,Shuang Yang +9 more
TL;DR: Li et al. as mentioned in this paper proposed a semi-supervised attentive graph neural network (SemGNN) to utilize the multi-view labeled and unlabeled data for fraud detection.
Proceedings ArticleDOI
A Semi-supervised Graph Attentive Network for Financial Fraud Detection
Daixin Wang,Jianbin Lin,Peng Cui,Quanhui Jia,Wang Zhen,Yanming Fang,Quan Yu,Jun Zhou,Shuang Yang,Yuan Qi +9 more
TL;DR: Li et al. as discussed by the authors proposed a semi-supervised attentive graph neural network (SemiGNN) to utilize the multi-view labeled and unlabeled data for fraud detection.
Proceedings ArticleDOI
Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining.
Shuo Yang,Zhiqiang Zhang,Jun Zhou,Wang Yang,Sun Wang,Xingyu Zhong,Yanming Fang,Quan Yu,Yuan Qi +8 more
TL;DR: To capture the credit-related topological structure and temporal variation of SMEs, a novel spatial-temporal aware graph neural network is designed and employed to mine supply chain relationship on a SME graph, and then analysis the financial risk based on the mined supply chain graph.
Proceedings ArticleDOI
Loan Default Analysis with Multiplex Graph Learning
TL;DR: A novel attributed multiplex graph based loan default detection approach for effectively integrating multiplex relations in financial scenarios by elaborately design relation-specific receptive layers equipped with adaptive breadth function to incorporate important information derived from local structure in each aspect of AMG.
Book ChapterDOI
Inductive Link Prediction with Interactive Structure Learning on Attributed Graph
Shuo Yang,Binbin Hu,Zhiqiang Zhang,Sun Wang,Wang Yang,Jun Zhou,Hongyu Shan,Yuetian Cao,Borui Ye,Yanming Fang,Quan Yu +10 more
TL;DR: In this article, the authors proposed a link prediction method by simultaneously learning structure and attribute information from both interactions/paths between two associated nodes and local neighborhood among node's ego subgraphs.