IEEE

Investigating Visual Perception of Degree Centrality in Graph Visualization

Abstract: Degree centrality (DC) is a widely used metric that measures node importance in data space. A node–link diagram is a commonly used graph visualization to help viewers identify important ...
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 ...
GitHub

Temporal Graph Neural Networks for Real-Time Financial Fraud Detection

This project implements and compares Temporal Graph Neural Networks (TGNNs) for detecting fraudulent transactions in financial networks. We've built a complete end-to-end system including model ...
Frontiers

Integrating network pharmacology, molecular docking and dynamics simulation to decipher the antipyretic mechanisms of Xiaochaihu granules

Xiao-Chai-Hu granules (XCHG), a classical traditional Chinese medicine formula derived from the ancient text Erta Treatise on Febrile Diseases, has demonstrated established clinical efficacy in fever ...