Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human designed to ...

Home | Mathematics | Linear functions, graphs and equations | Graphing linear functions Graphing linear functions This section focuses on the key features and methods for working with linear graphs.

Functions are one of the most fundamental concepts in mathematics, serving as a cornerstone for topics in algebra, calculus and beyond. Basics of functions are stepping-stone to success in functions ...

With the continuous extension of the Industrial Internet, cyber incidents caused by software vulnerabilities have been increasing in recent years. However, software vulnerabilities detection is still ...

To address this, we developed ProtHGT, a heterogeneous graph transformer-based model that integrates diverse biological datasets into a unified framework using knowledge graphs for accurate and ...

This study aims to investigate core graph metrics to understand the network properties of cortical areas crucial for executive functions, specifically initiation, inhibition, shifting, and working ...

A questionaire was designed to exhibit the cognitive schemes for the function concept that become active in identification and construction problems and to make possible the comparison of these ...

View all Mathematics syllabuses for Years 11–12 and access teaching and learning support materials.

While opinions are a dime a dozen in the finpub space, these three stocks to buy are based on rigorous, path-dependent analytics you won’t find anywhere else.

Throughout the module, students apply transfer functions to analyze the dynamics of physical and electrical systems. In the final lesson, students perform a frequency domain analysis of an LC filter ...

ConspectusFirst-principles molecular dynamics (FPMD) and its quantum mechanical-molecular mechanical (QM/MM) extensions are powerful tools to follow the real-time dynamics of a broad variety of ...

It will be useful to regulate AI, but primarily at the application level. For example, AI applications to medical diagnosis should be regulated very differently from AI applications to self-driving ...