The dataset used in this workshop is the BlackRock founders dataset, which are three small text files containing information about the founders of the asset management firm BlackRock. The aim of the ...

This project demonstrates how to build a complete agentic knowledge graph system using Kuzu, a powerful lightweight, embeddable graph database that can be integrated directly inside AI systems without ...

Abstract: Identifying the location of faults, anomalies, and failures is a long-standing but critical challenge in power system networks. The implementation of smart meters and advanced sensor ...

Jane JaeYeon Pyo, a third-year Tepper School of Business doctoral student, has developed a way to measure the distances between financial statements and a novel method of interpreting them, offering a ...

Conclusions: This study represents a pioneering effort in using LLMs, particularly GPT-4.0, to construct a comprehensive sepsis knowledge graph. The innovative application of prompt engineering, ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Graph neural networks (GNNs) have been shown to be astonishingly capable models for ...

Functional connectivity (FC) refers to the activation correlation between different brain regions. FC networks as typically represented as graphs with brain regions of interest (ROIs) as nodes and ...

I have had the idea for this article at least as long as I’ve known Nico Henke, a German-based collector who we can rightly call an expert on all things related to Enicar chronographs. It’s time to ...