RAPIDS Graph documentation#

_images/cugraph_logo_2.png

Making graph analytics fast and easy regardless of scale

RAPIDS Graph covers a range of graph libraries and packages, that includes:#

Core

GNN

Extension

cugraph

cugraph-ops

cugraph-service

pylibcugraph

cugraph-dgl

libcugraph

cugraph-pyg

libcugraph_etl

wholegraph


Introduction#

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.

Note: We are redoing all of our documents, please be patient as we update the docs and links


Indices and tables#