The explosion of digital data and the ever-growing need for fast data analysis have made in-memory big-data processing in computer systems increasingly important. In particular, large-scale graph ...

Computer science theory tells us that finding the best overall graph partitioning, if we could even define “best,” is usually very slow, so we don’t try. Our default mode is to use random ...

Graph algorithms and processing form the backbone of numerous applications across science and industry, ranging from social network analysis to large-scale data management.

Parallel computing plays a pivotal role in the efficient processing of large-scale graphs. Complex network analysis stands as a capti- vating research frontier, holding promise across diverse ...

In parallel, attention-based frameworks have further refined the process by jointly learning optimal graph structures and correspondences, hence effectively streamlining the matching pipeline ...

The master of science in computer engineering program prepares students to become leaders in university and industry settings. Our department offers students a truly interdisciplinary program with ...