Skip to content

denisemyrick/pgx-samples

 
 

Repository files navigation

PGX Samples

PGX (Parallel Graph AnalytiX) is a graph toolkit that provides a graph query language, optimized analytics algorithms, and machine learning support to extract insights hidden in the connections across datasets at high-performance and extreme scale.

While graphs have become ubiquitous nowadays as the backbone of multiple applications - from search engines and recommender systems to intelligent chatbots, PGX enables fast graph analysis on such industry-scale graphs (with trillions of edges) to reveal latent information between linked entities.

Table of contents:

Contributing

This project welcomes contributions from the community. Before submitting a pull request, please review our contribution guide

Security

Please consult the security guide for our responsible security vulnerability disclosure process

License

Copyright (c) 2019, 2024 Oracle and/or its affiliates.

Released under the Universal Permissive License v1.0 as shown at https://oss.oracle.com/licenses/upl/.

About

Applications using Parallel Graph AnalytiX (PGX) from Oracle Labs

Resources

License

Security policy

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Jupyter Notebook 52.6%
  • PLSQL 38.7%
  • Java 6.8%
  • HTML 1.7%
  • CSS 0.2%