Addressing the challenges associated with the proliferation of big data, Quantzig, a global data analytics, and BI advisory firm, sheds light on the role of graph analytics in data analysis and ...

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.

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 ...