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 ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

On the 27th of June 2025, M.Sc. Nicola Rizzo defends his PhD thesis on Indexable Sequence Graphs: Exploiting Uniqueness in the Pangenome Era. The thesis is related to research done in the Department ...

A research team has developed a new technology that enables to process a large-scale graph algorithm without storing the graph in the main memory or on disks. A KAIST research team has developed a new ...