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2024

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Federated Graph Anomaly Detection Via Contrastive Self-Supervised Learning, Xiangjie Kong, Wenyi Zhang, Hui Wang, Mingliang Hou, Xin Chen, Xiaoran Yan, Sajal K. Das Jan 2024

Federated Graph Anomaly Detection Via Contrastive Self-Supervised Learning, Xiangjie Kong, Wenyi Zhang, Hui Wang, Mingliang Hou, Xin Chen, Xiaoran Yan, Sajal K. Das

Computer Science Faculty Research & Creative Works

Attribute graph anomaly detection aims to identify nodes that significantly deviate from the majority of normal nodes and has received increasing attention due to the ubiquity and complexity of graph-structured data in various real-world scenarios. However, current mainstream anomaly detection methods are primarily designed for centralized settings, which may pose privacy leakage risks in certain sensitive situations. Although federated graph learning offers a promising solution by enabling collaborative model training in distributed systems while preserving data privacy, a practical challenge arises as each client typically possesses a limited amount of graph data. Consequently, naively applying federated graph learning directly to …

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The Mediating Effect Of Financial Literacy On Blockchain Technology Application And Financial Risk: Insight From Ghanaian Professionals Toward Policy Recommendations, Maxwell Okpoti Mensah, Williams Kwasi Peprah [email protected] Jan 2024

The Mediating Effect Of Financial Literacy On Blockchain Technology Application And Financial Risk: Insight From Ghanaian Professionals Toward Policy Recommendations, Maxwell Okpoti Mensah, Williams Kwasi Peprah [email protected]

Faculty Publications

This study explores the mediating effect of financial literacy on the relationship between blockchain technology application and financial risk among financial institution professionals in Ghana. Utilizing a correlational research design, data were collected from a sample of 336 professionals through a self-constructed Likert-scale questionnaire. The analysis was conducted using path analysis and mediation techniques. The findings reveal that financial literacy had a significant partial mediating effect between blockchain technology application and financial risk, accounting for 26.0% of the total effect. The direct negative effect of blockchain technology applications on financial risk also remained significant, highlighting the independent contribution of blockchain …

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