Researchers at the University of Sydney have combined path signatures from rough path theory with directed graph spectral ...

Uncover the latest and most impactful research in Graph Theory in Probability. Explore pioneering discoveries, insightful ideas and new methods from leading researchers in the field. Mounting ...

Earlier this week, OpenAI published a trove of hundreds of mathematical results it claimed could “push the frontier of human ...

John Urschel gave up his career with the Baltimore Ravens to study math at MIT.

Researchers have developed SURGE, a graph unlearning framework that treats data deletion requests as structural perturbations ...

Introduction Having AI solve unsolved mathematical problems has become a hot topic. This time, I used a small unsolved ...

Extra thinking turns into extra reliability only where something outside an AI model can tell a right answer from a wrong one ...

A new graph-theoretic framework that provides a unified description of atom-light interactions across regimes ranging from weak to deep-strong ...

I, Isamu, have been concerned that conventional cryptocurrency wallets have weak functionality. I thought that by expanding ...

A new graph-theoretic framework provides a unified description of atom-light interactions across regimes ranging from weak to ...

We began this series with a simple question: why should someone already fluent in Python bother learning SageMath? Fourteen ...

The M-polynomial is a powerful algebraic tool that encodes structural information of molecular graphs and enables the derivation of numerous degree-based topological indices through algebraic ...