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 ...

The fraternity of problems that confound computers has lost a prominent member. Computer scientist László Babai presented a new algorithm this year that efficiently tackles the graph isomorphism ...

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 ...