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 ...
IEEE

Transformer-Based Phase Space Graph Convolutional Network for Modulation Recognition

Abstract: Recent advances in deep learning-based signal re-representation methods have achieved significant breakthroughs in tasks like signal modulation recognition. In this paper, we propose a ...

New AI uncovers hidden patterns in biomedical knowledge graphs

A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...
Frontiers

Knowledge graph construction and dissemination analysis in folk culture space: a case study of Wuzhen Xiangshi

1 College of Design and Architecture, Zhejiang University of Technology, Hangzhou, China 2 College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China ...
The Clarion-Ledger

Knowledge Networks to Drive Global AI Policy Dialogue at World Economic Forum, Davos 2026

Knowledge Networks joins Davos 2026 to shape global AI governance, announce new ethics initiatives, and lead discussions on responsible, regulated AI innovation AI governance is no longer a future ...
IEEE

STMGCN: A Spatiotemporal Multi-Graph Convolutional Networks for Real-Time Intelligent Transportation Traffic Flow Prediction

Abstract: The Internet of Things (IoT) and artificial intelligence (AI) are essential for intelligent transportation systems (ITS) because they allow for real-time decision-making, predictive ...