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 ...
Scientific Research Publishing

Construction of a Maritime Knowledge Graph Using GraphRAG for Entity and Relationship Extraction from Maritime Documents ()

1 COSCO Shipping Technology Co., Ltd., Shanghai, China. 2 COSCO Shipping Specialized Carriers Co., Ltd., Guangzhou, China. In the international shipping industry ...
unite

Power of Graph RAG: The Future of Intelligent Search

As the world becomes increasingly data-driven, the demand for accurate and efficient search technologies has never been higher. Traditional search engines, while powerful, often struggle to meet the ...
GitHub

Coordination Algorithms for Autonomous Mobility-on-Demand systems and the power network.

Code for the paper: Rossi, F., Iglesias, R., Alizadeh, M., and Pavone, M., On the interaction between Autonomous Mobility-on-Demand systems and the power network ...
Frontiers

Systematic Fusion of Multi-Source Cognitive Networks With Graph Learning - A Study on Fronto-Parietal Network

Cognitive tasks induce fluctuations in the functional connectivity between brain regions which constitute cognitive networks in the human brain. Although several cognitive networks have been ...