Hyperbolic graph neural network techniques exploit the properties of hyperbolic geometry to model complex networks that exhibit hierarchical, scale-free or tree-like structure. In contrast to ...
Deep Graph Clustering. Deep models have achieved state-of-the-art results in node clustering. Classic methods leverage a reconstructive loss to learn node representations, while identifying node ...
Artificial intelligence infrastructure startup Hyperbolic Labs Inc. said today it has closed on a $7 million seed funding round to transform the way AI developers access compute and inference ...
Born into a world of gaming and sports, it was only natural to become an avid fan of both and eventually tie the two together in perfect harmony. Father of 3 and happily married since 2006, and a ...
Three papers from the Department of Computer Science were accepted to Symposium on Computational Geometry (SoCG). The 40th International Symposium on Computational Geometry (SoCG 2024) is organized in ...
Abstract: Social recommendation provides an auxiliary social network structure to enhance recommendation performances. By formulating user-user social network and user-item interaction graph, modern ...
An expansive area of research focuses on discerning patterns of alterations in functional brain networks from the early stages of Alzheimer's disease, even at the subjective cognitive decline (SCD) ...
A line drawing of the Internet Archive headquarters building façade. An illustration of a magnifying glass. An illustration of a magnifying glass.
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