The universe has a hidden structure, and a University of Virginia professor is mapping it in 3D, using 46 million galaxies ...
Data doesn’t persuade on its own. Structure your insights to show what’s working, what’s not, and what to do next.
Million Records Built from Live Attack Traffic Released to Advance Cybersecurity Research at the University of ...
Daisy chains are different. Their signal is structural. What matters is not one transaction, but the sequence. Imagine money ...
Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of ...
A study on visual language models explores how shared semantic frameworks improve image–text understanding across multimodal tasks. By ...
Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks ...
Abstract: Graph neural networks (GNNs), as a cutting-edge technology in deep learning, perform particularly well in various tasks that process graph structure data. However, their foundation on ...
Abstract: Graph data have extensive applications in various domains, including social networks, biological reaction networks, and molecular structures. Graph classification aims to predict the ...
Placebo-adjusted mean weight loss of 11.3% (27.3 lbs) with 120 mg dose in the 36-week Phase 2b ACCESS study with a 10.4% adverse event-related treatment discontinuation Placebo-adjusted mean weight ...
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