BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Other graph algorithms are applied to use cases including recommendations, fraud detection, network analysis, ... Knowledge graphs, graph data science, and machine learning.

The field of graph analytics was ... which was founded by a team of richly credentialed computer science ... “You get between 10 to 1,000 times less network traffic.” Graph analytics isn ...

Graph analytics and databases can help you sort through piles of metadata. Here's how. ... if you want devices — on or across a network.

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

At its UC 2022 conference this week, the company showed how its moving ArcGIS in the direction of big data with advances in analytics, AI, and even graph databases. Spatial analysis of big data has ...

DPABINet, developed by Dr. Chao-Gan Yan’s team at the Institute of Psychology, Chinese Academy of Sciences, simplifies brain network analysis with a user-friendly, one-click software that ...

State of the art in analytics and AI can help address some of the most pressing issues in scientific research. Here is how top scientists are using them to facilitate coronavirus research.

Serverless offering with 65+ ready-to-use algorithms boosts model accuracy by up to 80% and delivers 2X deeper insights - no graph expertise needed Graph analytics improves AI decision-making by ...