Graph learning often boils down to uncovering the hidden structure of data, which has been applied in various fields such as biology, sociology, and environmental studies. However, distributed sensing ...

DTSG-Net: Dynamic Time Series Graph Neural Network and Its Application in Modulation Recognition Modulation recognition of communication signals is of great importance in the context of the Internet ...

TGM is a research library designed to accelerate training workloads over dynamic graphs and facilitate prototyping of temporal graph learning methods. Our main goal is to provide an efficient ...