Recent augmentation-based methods showed that message-passing (MP) neural networks often perform poorly on low-degree nodes, leading to degree biases due to a lack of messages reaching low-degree ...

Abstract: This research explores optimizing recruitment and shortlisting processes using advanced graph algorithms. The study aims to construct and refine a dynamic knowledge graph that integrates ...

Abstract: Molecule graph generation plays a crucial role in the field of drug discovery, as it can significantly expedite the identification and development of potential drug candidates. Although many ...

In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk through core Qrisp abstractions for quantum ...