Graph Neural Networks and GraphRAG: Navigating Open-World Complexity in Finance

Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, ...
Business Wire

Franz’s AllegroGraph 7.1 Accelerates Complex Reasoning Across Massive, Distributed Knowledge Graphs and Data Fabrics

The foundation for Knowledge Graphs and AI lies in the facets of semantic technology provided by AllegroGraph and Allegro CL. AllegroGraph is a graph based platform that enables businesses to extract ...
CoinTelegraph

An overview of graph neural networks (GNNs), types and applications

Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...
EurekAlert!

Pasqal announces new machine learning protocol for comparing complex graph-based data on quantum systems

PARIS, Oct. 28, 2021 – Pasqal, developers of neutral atom-based quantum technology, today announced the publication of a scientific paper in the peer-reviewed APS Physics journal Physical Review A ...
datanami.com

Quine Streaming Graph Processes Over One Million Events Per Second

Quine, a real-time graph data processing engine for ETL pipelines, has reached a performance benchmark of processing one million events per second, according to its maker, thatDot. Named after ...
Hosted on MSN

Quantum walks: What they are and how they can change the world

Quantum walks are changing the way scientists think about computation. They use the strange and powerful rules of quantum physics—such as superposition, interference, and entanglement—to solve ...