As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Like many of us, [Tim]’s seen online videos of circuit sculptures containing illuminated LED filaments. Unlike most of us, however, he went a step further by using graph theory to design glowing ...

A Cloudflare blog post claiming a "production-grade" Matrix homeserver on Workers didn't survive community scrutiny. Missing ...

Abstract: Control flow graph models program execution paths and is essential for program analysis and compiler optimizations. Compilers traverse thousands of graphs during compilation, thus, efficient ...

Abstract: The frequency line is an important basis for the correlation and identification of underwater targets. However, how to accurately extract frequency line information from the interference of ...