Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...

Abstract: In recent years, web application development has become more efficient, yet vulnerabilities still pose significant risks. Traditional static and dynamic detection techniques are prone to ...

Current Grimoire operates on text-prompt level context without understanding code structure, symbols, or relationships. This limits reasoning quality and wastes context on irrelevant information.

Hello! I'm a university student studying AI, and I want to express my gratitude for sharing this valuable codebase publicly. It's been incredibly helpful for my research and learning. I am unable to ...

Researchers in the University of Minnesota College of Science and Engineering have successfully 3D printed realistic human tissue simulants that can be used for medical training for surgeons and ...