Knowledge Graph, Large Language Model, BERT, Knowledge Management, Small and Medium-Sized Enterprises, Accounting, Supply Chain Management Zheng, Y. (2026) Knowledge Graph Application in KM for ...

Being, Qatar Vision 2030, Systematic Literature Review, Conceptual Framework Share and Cite: Yaqoob, D. , Manivannan, N. and Xu, Y. (2026) Motivating Human Resources to Foster Innovation Elements of ...

Think about the last ten visitors to your online store. You probably picture ten people browsing on their phones or laptops.

Search has evolved into a complex, multi-dimensional ecosystem where “being visible” means far more than simply holding the top spot. In 2026, with AI ...

Researchers at Shanghai Jiao Tong University have made a groundbreaking discovery in the field of Temporal Knowledge Graphs ...

SM-GNN prunes multi-view GNNs to pure propagation, cutting training time while outperforming prior MKGC accuracies on two ...

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

Hundreds of millions of people are turning to chatbots to help figure out what's wrong with them. Doctors say that's not ...

Zero Knowledge Proof (ZKP) is being built as a complete blockchain ecosystem rather than just a digital asset. Its design ...