Abstract: Detecting vulnerabilities in source code is essential for maintaining cybersecurity in digital space. Recent research has highlighted the strong representational capabilities of Graph Neural ...

Discover how Hyperbolic Absolute Risk Aversion models risk tolerance, influences investment choices, and simplifies financial ...

Abstract: Hyperbolic graph convolutional networks (HGCNs) have demonstrated significant potential in extracting information from hierarchical graphs. However, existing HGCNs are limited to shallow ...

The information and materials presented here are intended to provide a description of the course goals for current and prospective students as well as others who are interested in our courses. It is ...