The recent past has seen an increasing interest in Heterogeneous Graph Neural Networks (HGNNs), since many real-world graphs are heterogeneous in nature, from citation graphs to email graphs. However, ...
Abstract: In the study of Ising models on large locally tree-like graphs, in both rigorous and non-rigorous methods one is often led to understanding the so-called belief propagation distributional ...
Abstract: The message-passing paradigm has served as the foundation of graph neural networks (GNNs) for years, making them achieve great success in a wide range of applications. Despite its elegance, ...
Mathematical patterns reveal profound truths about the universe and, surprisingly, about our inner lives as well. These five visual math concepts offer unique frameworks for understanding our behavior ...
We independently review everything we recommend. We may get paid to link out to retailer sites, and when you buy through our links, we may earn a commission. Learn more› By Katie Okamoto Katie Okamoto ...
Martina Egedusevic receives funding from the Scottish Forestry Trust. Daniel Green works for Heriot-Watt University as an Assistant Professor in Nature-based Solutions. He is also a Research Associate ...
Ten months ago, a ranger on the Hadrian’s Wall Path discovered a shocking crime: The widely loved Sycamore Gap tree had been chopped down. Fans mourned the loss of a beautiful landmark; arborists ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback