DART addresses two critical limitations in existing stock market prediction systems. First, most graph-based approaches rely on static knowledge graphs that fail to capture the dynamic nature of ...

In this guide, we show you how to create a Pareto chart in Excel. Excel is the best. Though we have many free and paid alternatives, the ease with which we can create complex data sheets and perform ...

Learn how to enable drill-down functionality in a Syncfusion WinForms Chart. This guide explains how to navigate from high-level data to detailed views using interactive chart segments and dynamic ...

ORLANDO, FL / ACCESS Newswire / December 8, 2025 / Unusual Machines, Inc. (NYSE American:UMAC), a leading provider of NDAA-compliant drone components, today announced a strategic supplier agreement ...

President Donald Trump announced the creation of government-sponsored investment accounts for children under age 18 as part of the sweeping budget bill he signed into law on July 4, 2025. The ...

You can type what data you want to see on a report and Google will instantly create it for you. Google added a new experimental “AI-powered configuration” to the Search Console Performance report. You ...

Philadelphia-based Jefferson Health has gone live with Epic’s MyChart Central, a tool that allows patients to securely access their health information from multiple participating systems through a ...

According to the World Economic Forum, non-human and agentic identities will exceed 45 billion by the end of 2025, a figure more than 12 times the size of the global workforce. The downstream ...

Silverfort, a leading identity security company, is releasing two new foundational capabilities Access Intelligence and Identity Graph & Inventory, further expanding Silverfort’s identity security ...

New capabilities solidify Silverfort's leadership position in emerging IVIP category, and give enterprises the required tools to proactively counter identity threats, while simultaneously boosting ...

Abstract: Dynamic Graph Neural Networks (GNNs) combine temporal information with GNNs to capture structural, temporal, and contextual relationships in dynamic graphs simultaneously, leading to ...

Abstract: This paper focuses on representation learning for dynamic graphs with temporal interactions. A fundamental issue is that both the graph structure and the nodes own their own dynamics, and ...