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 ...

The 2024 Nobel Prize in Chemistry was recently granted to David Baker, Demis Hassabis and John M. Jumper, renowned for their pioneering works in protein design. In addition, Nature has recently ...

Memgraph, a leader in open-source in-memory graph databases purpose-built for dynamic, real-time enterprise applications, is releasing two new tools specifically architected to open up the power of ...

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 ...

Neo4j, a leading graph database and analytics company, is introducing Neo4j Aura Graph Analytics, a new serverless offering that can be used with any data source and with Zero ETL (extract, load, ...

Kinil Doshi is a Senior VP at Citibank and a fintech expert in banking compliance and risk management with two decades of experience. In this article, I want to explore AI applications in fraud ...

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: Traffic congestion poses significant economic, environmental, and social challenges. High-resolution loop detector data and signal state records from Automated Traffic Signal Performance ...