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 ...

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

For 40 years, the Big Five personality model has dominated psychology, but new research suggests it may be incomplete.

Consequently, it became possible to train GNN models on data far exceeding main memory capacity, and training could be up to 95 times faster even on a single GPU server. In particular, the ...

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.

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 ...

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 ...

Neo4j, which offers a graph-centric database and related products, announced today that it raised $325 million at a more than $2 billion valuation in a Series F deal led by Eurazeo, with ...

We present a framework for identifying subpopulations in mega-patches using a combination of spatial autocorrelation and graph theory analyses. We apply our approach to southern California giant kelp ...

“Efficient graph processing can also unravel new insights in biological research such as genomic analysis, protein sequencing or epidemic transmission such as with COVID-19.