GraphScope

What is GraphScope

GraphScope is a unified distributed graph computing platform that provides a one-stop environment for performing diverse graph operations on a cluster through a user-friendly Python interface. GraphScope makes multi-staged processing of large-scale graph data on compute clusters simple by combining several important pieces of Alibaba technology: including GRAPE, MaxGraph, and Graph-Learn (GL) for analytics, interactive, and graph neural networks (GNN) computation, respectively, and the vineyard store that offers efficient in-memory data transfers.

Playground

GraphScope provides ease-of-use Python interface.
Users are enabled to process computation over very large graphs in a Jupyter Notebook.

Read the docs Try it online

pip install graphscope Successfully installed graphscope python import graphscope sess = graphscope.session() from graphscope.dataset.ogbn_mag import load_ogbn_mag g = load_ogbn_mag(sess, "testing_data")

Latest Blogs

Stay tuned with our latest news and tech blogs.

Release Note 0.16.0

We are bringing a number of improvements alongside the GraphScope 0.16.0 release, including many new features on backend engines for graph interactive queries and GNN workloads.

Posted on 09-Aug-2022

Release Note 0.14.0

We are delighted to present the release of GraphScope v0.14.0. This release is composed of many updates on backend graph interactive engine and persistent storage.

Posted on 09-Jun-2022

Release Note 0.13.0

We are delighted to announce the release of GraphScope v0.13.0. This release is focused on providing a JupyterLab extension for GraphScope to make your graph computation workflows better.

Posted on 07-May-2022

Awards

GraphScope is the receipent of
the Best Paper Award of SIGMOD 2017, the Best Demo Award of VLDB 2017,
Super AI Leader(SAIL) Award 2019 and the Best Paper Runner Up of VLDB 2020.
GraphScope receives Int’l recognition by both academia and industry.

View our publications

Best Paper Award

Super AI Leader Award

Best Paper Award