Another example involves the auction of a racecar. It demonstrates the ability of graph analysis to provide the investigator with more information than requested, potentially unveiling an extensive ...

Graph theory is used in sociology as a way, for example, to measure actors’ prestige or to explore rumor spreading, notably through the use of social network analysis software.

A new open-source library by Nvidia could be the secret ingredient to advancing analytics and making graph databases faster. The key: parallel processing on Nvidia GPUs.

Learn more about how QIAGEN Biomedical Knowledge Base enables biomedical knowledge graph construction and analysis to fuel your data- and analytics-driven drug discovery.

The field of network visualization and graph analysis has emerged as a crucial interdisciplinary area, merging advanced computational algorithms with sophisticated visual representation techniques ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the ...

Skyler J. Cranmer, Bruce A. Desmarais, Inferential Network Analysis with Exponential Random Graph Models, Political Analysis, Vol. 19, No. 1 (Winter 2011), pp. 66-86 ...

Recent work on graph perception has focused on the nature of the processes that operate when people decode the information represented in graphs. We began our investigations by gathering evidence that ...

Author’s note: This article shows how to derive circuit gain equations via a signal flow graph. With practice you may be able to write a gain equation by locating signal paths and loops in the ...