But as mobile hardware advances, Machine Learning (ML) techniques, particularly Graph Neural Networks (GNNs), are emerging as a powerful, efficient alternative to emulate physics on mobile. GNNs are ...

Persistent's Santosh Dixit and Google's Shweta Maniar discuss their joint solution, Pi-OmniKG, and its impact on the life ...

This important study examined orientation representations along the visual hierarchy during perception and working memory. The authors provide results suggesting that during working memory there is a ...

This fundamental study reports the effects of the psychedelic drug psilocin on iPSC-derived human cortical neurons, analyzing different aspects of structural and functional neuronal plasticity. The ...

As you can see in the top left graph, strong global demand and continued ... they're going to keep all those semi-products within China that used to lead. So we view those as actually very ...

For strongly connected directed circle graphs, we elaborate how the zero entries in the left eigenvectors of Laplacian matrix L arise. The topologies arising from left eigenvectors with zero entries ...

Ranked by Number of employees in Georgia dedicated to FinTech Showcase your company news with guaranteed exposure both in print and online Innovation Awards will honor individuals, teams and ...

To address the challenge, we propose a semi-supervised enhanced graph learning framework, SemiGPS, which leverages multi-modal geospatial big data to extract features linked to regional economic ...

The official source code for "GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment", accepted at SIGIR 2022(Short Paper). Despite the success ...