Abstract: This paper presents a novel method for power system reliability studies that combines graph neural networks with reinforcement learning. Monte Carlo methods are the backbone of probabilistic ...

Graphs are everywhere. From technology to finance, they often model valuable information such as people, networks, biological pathways and more. Often, scientists and technologists need to come up ...

Neo4j, the graph database from the US-Swedish company of the same name, is used by 76% of the Fortune 100, and its Australian customers include organisations in the healthcare, policing and banking ...

To stay visible in AI search, your content must be machine-readable. Schema markup and knowledge graphs help you define what your brand is known for. New AI platforms, powered by generative ...

In this tutorial, we’ll show how to create a Knowledge Graph from an unstructured document using an LLM. While traditional NLP methods have been used for extracting entities and relationships, Large ...

After its new GPUs failed to chart in the last two Steam Hardware Surveys, AMD has been dealt another blow in the graphics card stats world. According to the latest figures, AMD Radeon GPU market ...

Add Yahoo as a preferred source to see more of our stories on Google. It’s fair to say that Hailey Bieber is one of the most scrutinized celebrities on the internet, with the star regularly being ...

In this tutorial, we demonstrate how to construct an automated Knowledge Graph (KG) pipeline using LangGraph and NetworkX. The pipeline simulates a sequence of intelligent agents that collaboratively ...

David Schechter serves as CBS News National Environmental Correspondent, delivering in-depth reporting on the human impacts of our changing environment and climate. Senior Coordinating Producer of ...

Abstract: As a solution for the lost-in-space star identification problem we present Star Identification using Graph Neural Network (SIGNN), a novel approach using Graph Attention Networks. By ...