The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...

Quantum computers promise to speed calculations dramatically in some key areas such as computational chemistry and high-speed networking. But they're so different from today's computers that ...

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

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

Researchers say they have mapped more than 200,000 cells in a cubic millimeter of brain tissue and have traced how they're ...

The wiring diagram and its data, freely available through the MICrONS ... creating the first platform to study the relationship between neural structure and function at scales necessary to ...

The MSc degree in Data Science consists of 120 credits divided into core courses, data science specialisation courses, and other courses, as described below. You can specialise either in the core ...

The proposed approach employs a two-step random walk mechanism between core and petal regions, facilitating bidirectional information transfer while preserving the inherent graph structure.

Consequently, there is an increasing demand for employing graph structure learning (GSL) techniques to optimize or generate the graphs. However, existing GSL techniques for traffic prediction ...