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 ...
dbta

Franz Introduces Graph Neural Networks in Latest AllegroGraph Release

Franz Inc., an early innovator in AI and leading supplier of graph database technology, is releasing AllegroGraph 7.2, providing organizations with essential data fabric tools, including graph neural ...

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, ...
dbta

TigerGraph Unveils its ML Workbench to Deliver Deep Learning and Graph Neural Network Frameworks

TigerGraph, provider of a leading graph analytics platform, is introducing the TigerGraph ML (Machine Learning) Workbench—a powerful toolkit that enables data scientists to significantly improve ML ...

Guangzhou Haofang and Qianlang Technology Obtain Patent for Graph Neural Network Coating Detection: Can It Lead Industry 4.0?

Guangzhou Haofang Automotive Parts Co., Ltd. and Guangzhou Qianlang Technology Co., Ltd. recently announced the successful acquisition of a patent titled "An Intelligent Detection Method for Defective ...
Semiconductor Engineering

Physics Simulation With Graph Neural Networks Targeting Mobile

The demand for immersive, realistic graphics in mobile gaming and AR or VR is pushing the limits of mobile hardware. Achieving lifelike simulations of fluids, cloth, and other materials historically ...
Neowin

Investment portfolio built with graph neural networks demonstrates promising results

Graph neural networks (GNNs) are a relatively recent development in the field of machine learning. Like traditional graphs, a core principle of GNNs is that they model the dependencies and ...

Zhongzhexin AI Risk Identification Patent: **Graph Neural Networks** Empowering Enterprise Safety Management

Recently, Zhongzhexin Technology Consulting Co., Ltd. applied for a patent titled "An AI-based Method and System for Identifying Production Risk Hazards in Enterprises," indicating the deep ...
The Next Platform

The Graph Neural Network Behind Your ETA

Expect to hear increasing buzz around graph neural network use cases among hyperscalers in the coming year. Behind the scenes, these are already replacing existing recommendation systems and traveling ...