This article introduces dynamic multimodal process knowledge graphs (DMPKGs), a novel neurosymbolic framework for data and knowledge representation that supports cognitive tasks such as compositional ...

A powerful tool to extract the necessary knowledge from large amounts of data is knowledge graph (KG). KG, as an organized form ... Roy et al. proposed a framework based on supervised contrastive ...

Camel is a graph-based, multi-stage, and type-driven domain-specific language (DSL) designed to bridge the gap between AI research and production deployment.

Experts and students found the questions familiar, rewarding conceptual clarity and thorough preparation. Listen to Story CBSE Class 12 English exam was student-friendly with real-life tasks Writing ...

ASP.NET Core is an open-source and cross-platform framework for building modern cloud-based internet-connected applications, such as web apps, IoT apps, and mobile backends. ASP.NET Core apps run on ...

This section focuses on the key features and methods for working with linear graphs. It demonstrates how to sketch graphs from rules, derive rules from graphs, and calculate key features such as the ...

Meanwhile, the field of graph machine learning is witnessing a paradigm transition from shallow methods to more sophisticated deep learning approaches. The capabilities of foundation models in ...

This is where attack graphs come in. By mapping potential attack paths, they offer a more strategic way to identify and mitigate risk. In this article, we'll explore the benefits, types, and practical ...

A study that surveyed the same Australian households every year for the last two decades has found economic inequality is at a 20-year-high. The HILDA survey, released by the University of ...