Abstract: Graph neural networks (GNNs) have become the prevailing methodology for addressing graph data-related tasks, permeating critical domains like recommendation systems and drug development. The ...

AI autoscaling promises a self-driving cloud, but if you don’t secure the model, attackers can game it into burning cash or ...

Legal Environment, Corporate Governance, Financial Performance, SACCOS, Institutional Theory Share and Cite: Mbegu, S. (2026) Legal Environment and SACCOS Financial Performance in Mbeya, Tanzania: ...

Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.

S2DM is an approach for modeling data across multiple domains. It is designed to be simple and accessible for Subject Matter Experts (SMEs) while incorporating semantic principles to define meaningful ...

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 ...

Gartner introduces Exposure Assessment Platforms, showing 74% of vulnerabilities are dead ends and projecting 30% less ...

Abstract: Self-supervised tasks show significant advantages for node representation learning in recommender systems. This core idea of self-supervised task-based recommender systems depends on data ...

1 Quzhou Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Quzhou, China 2 College of Electrical Engineering, Shanghai University of Electric Power, Shanghai, China Introduction: The ...