Tech Xplore

New graph attention network models higher-order relationships in complex graph data

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
Scientific Research Publishing

Cultural Diplomacy through the People: A Case Study of the Political Significance of the K-Pop Industry ()

McCarthy, E. (2026) Cultural Diplomacy through the People: A Case Study of the Political Significance of the K-Pop Industry.
IEEE

A Data-Driven Graph Model Approach to Critical Care Patient Clinical Trajectory Prediction

Abstract: The advent of increasingly available patient health data has created opportunities for critical care medicine to embrace modern data-driven decision support. However, existing methods, such ...
IEEE

Anomaly Detection with Graph Attention Network for Multimodal IoT Data Monitoring

Abstract: The popularity of the wireless network and the embedded system has promoted the widespread application of the Internet of Things (IoT) monitoring system which detects anomalies for ...
InfoQ

Virtual Panel - AI in the Trenches: How Developers Are Rewriting the Software Process

This virtual panel brings together engineers, architects, and technical leaders to explore how AI is changing the landscape ...
GitHub

FedDGL: Federated Dynamic Graph Learning for Temporal Evolution and Data Heterogeneity

Federated graph learning advances the field of federated learning by enabling privacy-preserving collaborative training on distributed graph data. Conventional federated graph learning methods excel ...