A new breakthrough pushes the limits of randomness, bringing a decades-old mathematical mystery closer to resolution ...

What’s the secret to prompting an AI to solve math problems that have left humans stumped? Tell it to believe in itself ...

Abstract: Graph Neural Networks (GNNs) have become a powerful tool in order to learn from graph-structured data. Their ability to capture complex relationships and dependencies within graph structures ...

Abstract: Ranking the relative importance of nodes is a fundamental issue in network science, especially in the analysis of social and information networks. A variety of importance metrics and related ...