A research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN training, which can achieve up to a ...

Explore how large language models enhance knowledge graphs in drug discovery and improve data management and reasoning.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of Nadaraya-Watson kernel regression ...

The presence of pharmaceuticals and their transformation products in water sources is an emerging environmental concern, ...

As artificial intelligence (AI) continues to advance, researchers at POSTECH (Pohang University of Science and Technology) ...

The world economy is experiencing a major turning point, moving from abundance to scarcity, which alters economic dynamics and leads to potential inflation.

Abstract: Graph Neural Networks (GNNs) have recently achieved remarkable success in various learning tasks involving graph-structured data. However, their application to multi-relational graph anomaly ...

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

From line-breakers to tempo-setters, Pedri's passing is key to Hansi Flick's side as he dictates the play and allows ...