3 papers
cs.LG2024
Stock Type Prediction Model Based on Hierarchical Graph Neural Network
Jianhua Yao, Yuxin Dong, Jiajing Wang +3
This paper introduces a novel approach to stock data analysis by employing a Hierarchical Graph Neural Network (HGNN) model that captures multi-level information and relational str…
q-fin.RM2024
Unveiling the Potential of Graph Neural Networks in SME Credit Risk Assessment
Bingyao Liu, Iris Li, Jianhua Yao +3
This paper takes the graph neural network as the technical framework, integrates the intrinsic connections between enterprise financial indicators, and proposes a model for enterpr…
cs.LG2024
Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks
Yuxin Dong, Jianhua Yao, Jiajing Wang +3
Financial fraud refers to the act of obtaining financial benefits through dishonest means. Such behavior not only disrupts the order of the financial market but also harms economic…