Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...
Online recommendation is moving into a new phase as transformers begin to reshape how graph-based systems understand users, items, and their hidden connections.
The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...
Memgraph, a leader in open-source, in-memory graph databases, is introducing a new capability designed to accelerate business adoption of graph-based retrieval-augmented generation (GraphRAG), Atomic ...
Like many of us, [Tim]’s seen online videos of circuit sculptures containing illuminated LED filaments. Unlike most of us, however, he went a step further by using graph theory to design glowing ...
Descriptive set theorists study the niche mathematics of infinity. Now, they’ve shown that their problems can be rewritten in the concrete language of algorithms. All of modern mathematics is built on ...
Memgraph Creates Toolkit for Non-Graph Users to Jumpstart the Journey to Full GraphRAG AI Capability
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 ...
Abstract: This paper presents an innovative web application tool for the efficient routing and sizing of cable trays and other cable-supporting structures, with the aim of finding concrete and ...
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 ...
Abstract: Wireless Time-Sensitive Networking (WTSN) represents a cutting-edge technological advancement designed to meet the stringent requirements of time-sensitive applications. A fundamental ...
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