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 0.7.0

We are glad to announce the availability of GraphScope v0.7. This release includes major updates for the persistent graph store in GraphScope, providing APIs for real-time graph updates.

Posted on 08-Sep-2021

Release Note 0.6.0

We are glad to announce the release of GraphScope 0.6. It integrates a new graph interactive engine GAIA, which supports efficient parallel execution and bounded-memory execution for Gremlin queries.

Posted on 08-Aug-2021

GAIA Deep Dive: Bounded-Memory Execution and Early-Stop Optimization for Efficient Graph Traversal at Scale

Today, we introduce two unique and key features of GAIA coming in the v0.6 release.

Posted on 05-Aug-2021

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.

Best Paper Award

Super AI Leader Award

Best Paper Award