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Extreme Networks grows with a SaaS shift, 24% ARR growth, margin expansion, and strong FCF with share buybacks. Read why EXTR ...

Learn how to strengthen cyber hygiene, modernize security standards, leverage fingerprinting, and more to defend against ...

This Research Topic envisions the future of multivariate data analysis in Network Physiology and beyond through the lens of ...

As a data-driven analysis and decision-making tool, student portraits have gained significant attention in education ...

Retail media networks use first-party shopper data and retailer ad inventory to target high-intent buyers and generate new, ...

Azure Copilot’s six new AI agents assist with a wide range of Azure cloud management tasks, either on their own or working ...

Abstract: Graph Convolutional Networks (GCNs) prevail in the analysis of network-structured data, but how the graph size affects the performance is not fully understood. As the limit of graphs, the ...

Abstract: Recent advancements in Graph Neural Networks (GNNs) show promise for various applications like social networks and financial networks. However, they exhibit fairness issues, particularly in ...

A. P. B. Tanaka, P. Renard, J. N. M. Caldeira, C. Trunz (2025). Graph-based fracture network analysis to integrate structural geology properties and identify preferential flow pathways in the aquifer ...