Tracking down financial statement fraud by analyzing the supplier-customer relationship network

J Li, Y Chang, Y Wang, X Zhu - Computers & Industrial Engineering, 2023 - Elsevier
The supplier-customer relationships in the supply chain reflect the transaction activities
between companies, which can also imply the relationships across the financial data …

From data to insights: the application and challenges of knowledge graphs in intelligent audit

H Zhong, D Yang, S Shi, L Wei, Y Wang - Journal of Cloud Computing, 2024 - Springer
In recent years, knowledge graph technology has been widely applied in various fields such
as intelligent auditing, urban transportation planning, legal research, and financial analysis …

Knowledge management for injection molding defects by a knowledge graph

ZW Zhou, YH Ting, WR Jong, MC Chiu - Applied Sciences, 2022 - mdpi.com
Injection molding is a technique with a high knowledge content. However, most of the
injection molding knowledge is stored in books, and it is difficult for personnel to clarify the …

Financial data analysis application via multi-strategy text processing

H Zhu - arXiv preprint arXiv:2204.11394, 2022 - arxiv.org
Maintaining financial system stability is critical to economic development, and early
identification of risks and opportunities is essential. The financial industry contains a wide …

A Cybersecurity Knowledge Graph Completion Method for Penetration Testing

P Wang, J Liu, X Zhong, S Zhou - Electronics, 2023 - mdpi.com
Penetration testing is an effective method of making computers secure. When conducting
penetration testing, it is necessary to fully understand the various elements in the …

An automated information extraction system from the knowledge graph based annual financial reports

SF Mohsin, SI Jami, S Wasi, MS Siddiqui - PeerJ Computer Science, 2024 - peerj.com
This article presents a semantic web-based solution for extracting the relevant information
automatically from the annual financial reports of the banks/financial institutions and …

Momentum portfolio selection based on learning-to-rank algorithms with heterogeneous knowledge graphs

MC Wu, SH Huang, AP Chen - Applied Intelligence, 2024 - Springer
Artificial intelligence techniques for financial time series analysis have been used to
enhance momentum trading methods. However, most previous studies, which have treated …

Enhancing Error Detection on Medical Knowledge Graphs via Intrinsic Label

G Yu, Q Ye, T Ruan - Bioengineering, 2024 - mdpi.com
The construction of medical knowledge graphs (MKGs) is steadily progressing from manual
to automatic methods, which inevitably introduce noise, which could impair the performance …

Farspredict: A benchmark dataset for link prediction

N Torabian, B Minaei-Bidgoli, M Jahanshahi - arXiv preprint arXiv …, 2023 - arxiv.org
Link prediction with knowledge graph embedding (KGE) is a popular method for knowledge
graph completion. Furthermore, training KGEs on non-English knowledge graph promote …

Design and Development of Knowledge Graph for Industrial Chain Based on Deep Learning

Y Li, Y Lei, Y Yan, C Yin, J Zhang - Electronics, 2024 - mdpi.com
This paper aims to structure and semantically describe the information within the industrial
chain by constructing an Industry Chain Knowledge Graph (ICKG), enabling more efficient …