Looks can be deceiving and that's one of the problems with today's three-dimensional bar graph. While these graphs may look correct, researchers from the Johns Hopkins Bloomberg School of Public ...

-This project proposes the Design-on-Graph method, which is an intelligent design framework for manufacturing systems based on GraphRAG . It utilizes a Large Language Model (LLM) to efficiently manage ...

Looks can be deceiving and that's one of the problems with today's three-dimensional bar graph. While these graphs may look correct, researchers from the Johns Hopkins Bloomberg School of ...

Graphs are widely used to represent complex relationships in everyday applications such as social networks, bioinformatics, and recommendation ...

Abstract: As a well-known graph embedding method, Graph Convolutional Networks (GCNs) have been widely applied to recommendation systems and social media analysis, in which privacy concerns regarding ...

Abstract: In this study an innovative method for the epileptic seizures detection (ESD) have been introduced in which visibility graph (VG) techniques integrated with deep learning. The method ...

Objective: Alzheimer’s disease (AD) is mainly identified by cognitive function deterioration. Diagnosing AD at early stages poses significant challenges for both researchers and healthcare ...