Author details
Author's Published Works
Author details
Showing 1-4 of 4 results
- Sort
Filter Results
Show
Sort By
Results
Stock Type Prediction Model Based on Hierarchical Graph Neural Network
Jianhua Yao;Yuxin Dong;Jiajing Wang;Bingxing Wang;Hongye Zheng;Honglin Qin
2024 International Conference on Electronics and Devices, Computational Science (ICEDCS)
Year: 2024 | Conference Paper |
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 structures in the stock market. The HGNN model integrates stock relationship data and hierarchical attributes to predict stock types effectively. The paper discusses the construction of a stock industry relationship graph a...Show More
Unveiling the Potential of Graph Neural Networks in SME Credit Risk Assessment
Bingyao Liu;Iris Li;Jianhua Yao;Yuan Chen;Guanming Huang;Jiajing Wang
2024 5th International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)
Year: 2024 | Conference Paper |
Cited by: Papers (2)
This paper takes the graph neural network as the technical framework, integrates the intrinsic connections between enterprise financial indicators, and proposes a model for enterprise credit risk assessment. The main research work includes: Firstly, based on the experience of predecessors, we selected 29 enterprise financial data indicators, abstracted each indicator as a vertex, deeply analyzed t...Show More
Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks
Yuxin Dong;Jianhua Yao;Jiajing Wang;Yingbin Liang;Shuhan Liao;Minheng Xiao
2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS)
Year: 2024 | Conference Paper |
Cited by: Papers (9)
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 and social development and breeds other illegal and criminal activities. With the popularization of the internet and online payment methods, many fraudulent activities and money laundering behaviors in life have shifted...Show More
Optimal Download of Dynamically Generated Data by Using ISL Offloading in LEO Networks
2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN)
Year: 2019 | Conference Paper |
Cited by: Papers (5)
With the growing demand for satellite network technology in military and commercial applications, a large number of LEO(Low Earth Orbit) satellites have been launched in various countries around the world. One of the most important tasks is to download the data collected by these satellites to the Earth Stations(ESs) for processing. Previous research efforts have focused on how to download satelli...Show More
IEEE Account
Purchase Details
Profile Information
Need Help?
- US & Canada: +1 800 678 4333
- Worldwide: +1 732 981 0060
- Contact & Support
- About IEEE Xplore
- Contact Us
- Help
- Accessibility
- Terms of Use
- Nondiscrimination Policy
- Sitemap
- Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.