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 ...

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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