Parallel Graph AnalytiX (PyPGX) conda environment is introduced.

Use PyPGX V21.3.1 to extract hidden insights using graph machine learning, optimized analytics algorithms, and a graph query language. PyPGX is a fast, parallel, in-memory graph analytic framework that allows you to run analytic algorithms, browse, and store the results. In addition to allowing you to implement your own custom graph algorithms, PyPGX includes numerous built-in graph algorithms. Some of the classes of algorithms include:

  • Community Detection
  • Path Finding
  • Ranking
  • Recommendation
  • Pattern Matching
  • Influencer Identification

For more information, see Data Science and Data Science API. Read the interesting articles in our Data Science Blog.