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 ...

The data-driven approach has become significant in various scientific fields, such as climate modeling and weather forecasting, where a mechanistic description of physics and chemistry is either ...

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 ...

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