Wikidata has built the semantic web backbone supporting knowledge cards in popular engines. Now, it's extending this ...

In the breakneck pace of today’s AI-powered world, businesses are slammed with roadblocks: scattered data choking work ...

Lynx Analytics, a member of the NVIDIA Inception program for startups, today announced the launch of LynxKite 2000:MM, the most advanced version of its Graph AI platform. Designed to accelerate Graph ...

The implications of Nagpure’s work extend beyond technical fields and reach into broader policy and industry considerations.

and they also fail to construct relation representations from a semantic perspective. These two issues limit the effectiveness of multimodal knowledge graph completion models. This paper proposes a ...

Design A graph neural network was developed incorporating pathologist domain knowledge to classify 6591 whole-slides images (WSIs) of endoscopic large bowel biopsies from 3291 patients (approximately ...

The core of DTI prediction lies in appropriate representations learning of drug and target. Previous studies have confirmed the effectiveness of graph neural networks (GNNs) in drug compound feature ...

This study, set against the backdrop of the shipping industry, combines top-down and bottom-up schema design strategies to achieve precise and flexible knowledge representation ... which models the ...