Graph curvature and Laplacian operators form a vibrant area of research at the intersection of differential geometry and graph theory. The concept of graph curvature, inspired by classical Ricci ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

A new technique for solving 'graph Laplacians' is drastically simpler than its predecessors, with implications for a huge range of practical problems. In the last decade, theoretical computer science ...

Big advances in math can happen when mathematicians move ideas into areas where they seem like they shouldn’t belong. My latest story is about the mathematician June Huh, who came into the field late ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...