Graph neural networks (GNNs) encounter significant computational challenges when handling large-scale graphs, which severely restricts their efficacy across diverse applications. To address this ...

The Census Bureau's Advance Retail Sales Report for June showed consumer spending was higher than expected last month, with ...

Understanding the interaction between light and matter at the smallest scales (angstrom scale) is essential for advancing ...

This is a valuable study on how past sensory experiences shape perception across multiple time scales. Using a behavioural task and reanalysed EEG data, the authors identify two unifying mechanisms ...

Waterfall Network is a layer-1 protocol that implements a Directed Acyclic Graph (DAG) as its foundational ledger. A DAG is a ...

OpenX has been the leader in supply-side curation since 2018, when it launched OpenAudience™, a first-of-its-kind solution for data partners, powered by the industry’s first supply-side identity graph ...

"The muni market seemed to ignore Treasuries [last] week, marching to its own beat," said Birch Creek strategists.

We investigate runtime environment characteristics and explore the challenges of conventional in-memory graph processing. This system-level analysis includes empirical results and observations, which ...