IEEE

Graph-Based Visualization and Fault Diagnosis in Large-Scale Industrial Sensor Networks Using KNN-Constructed Graph Neural Networks(GNN)-A Approach Synthetic Dataset

Abstract: In this study, we present a scalable method for modeling and visualizing large-scale industrial sensor networks using Graph Neural Network (GNN) principles. By applying the K-Nearest ...
IEEE

Graph-Based User-Centric Recommender System Using Neo4j, Cypher, and Jaccard Similarity in the Field of e-Commerce

Abstract: This paper presents a scalable and interpretable recommender system architecture that uses a property graph model implemented in Neo4j to generate personalized product recommendations. By ...
eLife

Drosophila melanogaster model of RVCL-S demonstrates age dependent disease progression

This manuscript describing the phenotypes associated with loss and gain of RVCL-S documents important findings that have practical implications. Although the data and methods are solid and support ...

Release 2.0 of Tom Sawyer SysML v2 Viewer Broadens SysML v2 Syntax Coverage and Optimizes Model Layout

Broader graphical coverage and flexibility improve readability and user control across complex system models SysML v2 ...