Welcome to cugraph’s documentation!

RAPIDS cuGraph is a library of graph algorithms that seamlessly integrates into the RAPIDS data science ecosystem and allows the data scientist to easily call graph algorithms using data stored in GPU DataFrames, NetworkX Graphs, or even CuPy or SciPy sparse Matrices.

Basics

General CuGraph Information

• CuGraph Intro

• Blogs and Presentation

• How-to Guides

• Performance

CuGraph Development and Contributing

• Getting cuGraph Packages

• Contributing to cuGraph

• CuGraph Development Guide

Algorithms

• Current list of algorithms

API

• Python API reference
  • cugraph API Reference
  • pylibcugraph API reference
  • cugraph-dgl API Refrerence
  • cugraph-pyg API Reference
  • cugraph-service-client API Reference
  • cugraph-service-server API Reference

• CuGraph C and C++ API Links

Indices and tables

• Index

• Module Index

• Search Page