A decentralized cloud security framework uses attribute-based encryption to enable fine-grained access control without centralized vulnerabilities. By combining cryptographic policy enforcement, third ...

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 ...

A new MCP Server for Fabric has also been added to enable developers to connect agents to Fabric’s ecosystem to accelerate tasks, such as creating a data pipeline or notebook. Microsoft is adding two ...

When it comes to accessing data across Facebook’s ecosystem, the Facebook Graph API is an invaluable tool. This powerful API allows developers to tap into a wide range of Facebook data, enabling the ...

Abstract: Memory performance bottlenecks the execution of graph applications, from traditional graph analytics (GA) to rapidly evolving graph neural networks (GNNs), due to the large size and ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

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ABSTRACT: For a simple undirected graph G, let A( G ) be the (0, 1) adjacency matrix of G. The Seidel matrix of G, is defined as S( G )=J−I−2A( G ) , where J is the all-one matrix and I is the ...

ABSTRACT: Graph burning is a model for describing the spread of influence in social networks and the generalized burning number b r ( G ) of graph G is a parameter to measure the speed of information ...

Blazor is a modern .NET application framework, primarily used to build web applications. Since its release in 2020, it has evolved with new features and capabilities, enabling developers with the ...