Structure content for AI search so it’s easy for LLMs to cite. Use clarity, formatting, and hierarchy to improve your ...

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

However, limitations such as inadequate utilization of structural information, poor feature representation, and weak graph update capabilities hinder their performance. In this article, we propose an ...

I have utilised either structs or classes to create "blueprints" of the structure, being able to create instances wherever necessary. Additionally, the use of enumeration for data types allows for the ...

Hence, there is a significant need to develop NIDS that can operate in near real-time, eliminate the need for labeled data, and effectively identify novel attack patterns. We propose GTAE-IDS, a novel ...

This page tracks the latest available data on COVID-19 hospitalizations, cases, deaths, variants and vaccinations from the California Department of Public Health. The most recent case and deaths ...

A data structure is a particular way storing and organizing data in a computer for efficient access and modification. Data structures are designed for a specific purpose. Examples include arrays, ...

This paper introduces theoretical frameworks to interpret empirically measured brain connectivity including the graph data structure that can be used to indicate connections between regions as well as ...