For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

While still a bit of an outlier, graph-oriented databases continue to find a role in the modern data stack -- thanks largely to AI.

Graph neural networks (GNNs) are powerful artificial intelligence (AI) models designed for analyzing complex, unstructured graph data. In such data, entities are represented as nodes and ...

PuppyGraph, the first real-time, zero-ETL graph query engine, today announced native integration with Managed Iceberg Tables on the Databricks Data Intelligence Platform.

Dragoš Cvetković, SOME SUPPLEMENTS TO THE TABLES OF GRAPH SPECTRA, Publikacije Elektrotehničkog fakulteta. Serija Matematika, No. 7 (1996), pp. 45-54 ...

Post hoc and planned comparison procedures for interpreting chi-square contingency-table test results, not currently discussed in most standard textbooks, are presented. A planned comparison procedure ...