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 ...

The Kennedy College of Science, Richard A. Miner School of Computer & Information Sciences, invites you to attend a doctoral dissertation proposal defense by Nidhi Vakil, titled: "Foundations for ...

Jacob Holm was flipping through proofs from an October 2019 research paper he and colleague Eva Rotenberg—an associate professor in the department of applied mathematics and computer science at the ...

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 ...

With a $9.2 million grant from Intelligence Advanced Research Projects Activity (IARPA), Prof. Andrew A. Chien will lead a team of University of Chicago computer science researchers building the ...

The K-Computer in Japan continues to top the Graph 500 ranking of the world’s fastest supercomputers. The latest list was released today at SC16 in Salt Lake City. The Graph 500 measures performance ...

Situated within the McCormick School of Engineering and driven by the CS+X initiative, the Department of Computer Science (CS) at Northwestern University prepares students to perform impactful and ...

Technology shapes how we work, play, connect, and discover. At Northwestern, we don’t just keep up—we push the boundaries of what’s possible. As a hub for bold, interdisciplinary research, we connect ...

Ian (he/him) is a contributing writer and a communications professional. He holds a master’s degree in sociology, and currently, he a is a doctoral candidate completing his dissertation. Brenna ...