DGL

DGL originated from a paper published in 2019 “DEEP GRAPH LIBRARY: A GRAPH-CENTRIC, HIGHLY-PERFORMANT PACKAGE FOR GRAPH NEURAL NETWORKS”

Logo

../_images/dmlc_dgl-small.png

Website

https://www.dgl.ai/

Repository

https://github.com/dmlc/dgl

Byline

Python package built to ease deep learning on graph, on top of existing DL frameworks.

License

Apache 2.0

Project age

3 years 1 months

Backers

Distributed (Deep) Machine Learning Community @ NYU (Creator and maintainer)

Size score (1 to 10, higher is better)

4.25

Trend score (1 to 10, higher is better)

5.75

Education Resources

URL

Resource Type

Description

https://docs.dgl.ai/

Documentation

Official project documentation.

Git Commit Statistics

Statistics computed using Git data through May 31, 2021.

Statistic

Lifetime

Last 12 Months

Commits

11,729

6,158

Lines committed

4,670,903

2,338,058

Unique committers

140

89

Core committers

14

15

../_images/dmlc_dgl-monthly-commits.png

Similar Projects

Project

Size Score

Trend Score

Byline

JGraphT

5.5

3.5

JGraphT is a free Java class library that provides mathematical graph-theory objects and algorithms. It runs on Java 2 Platform (requires JDK 11 or later starting with JGraphT 1.5.0).

NetworkX

6.25

6.25

Network Analysis in Python

kglab

5.0

4.75

A simple abstraction layer in Python for building knowledge graphs