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 designed to process graph-structured data. Currently, GNNs are effective ...
IEEE

Temporal Correlation Embedding for Enhanced Temporal Knowledge Graph Evolution

Abstract: Temporal knowledge graphs (TKGs) extend traditional knowledge graphs by incorporating temporal information, enabling the modeling of dynamic facts. However, they often suffer from ...
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 ...
IEEE

Graph-Based Spatial-Temporal Attentive Network for Vehicle Trajectory Prediction in Automated Driving

Abstract: When Automated Vehicles (AVs) navigate dynamic, interactive driving scenarios, they must consider the spatio-temporal layout of surrounding traffic, including social interactions among ...