Graph neural networks (GNNs) have emerged as a versatile class of machine-learning models designed to process data structured as graphs, capturing relationships among entities through iterative ...

Graph similarity measurement underpins a host of tasks in data science, from detecting communities in social media to aligning multimodal biological networks. Large networks often comprise millions or ...

The legendary graph isomorphism problem may be harder than a 2015 result seemed to suggest. “In Laci Babai, you have one of the most legendary and fearsome theoretical computer scientists there ever ...

A puzzle that has long flummoxed computers and the scientists who program them has suddenly become far more manageable. A new algorithm efficiently solves the graph isomorphism problem, computer ...

A computer scientist has taken his colleagues on a rollercoaster ride. In the span of several days, László Babai of the University of Chicago walked back his ...