Home/Model Training/AutoGL

AutoGL

Enrichment pending

THUMNLab/AutoGL

An autoML framework & toolkit for machine learning on graphs.

GitHub Website

GraphCanon updated today · GitHub synced today

1.1k

Stars

123

Forks

Open issues

Watchers

7mo

Last push

Python Apache-2.0Created Nov 30, 2020

Trust & integrity

Full report

Maintenance: Slowing (233d since push); As of today · Source: github_public_v1
Provenance: Not a fork · Organization account; As of today · Source: github_public_v1
Security (OSV): No lockfile; As of today · Source: none

Public GitHub metadata and optional OSV dependency scans. Signals, not a guarantee. Trust methodology.

Overview

An autoML framework & toolkit for machine learning on graphs.

Capability facts

Languages: python
Source: github.language · Jul 11, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 11, 2026)

1. Python >= 3.6.0

Source link

README

Requirements

Please make sure you meet the following requirements before installing AutoGL.

Python >= 3.6.0
PyTorch (>=1.6.0)

see https://pytorch.org/ for installation.
Graph Library Backend

You will need either PyTorch Geometric (PyG) or Deep Graph Library (DGL) as the backend. You can select a backend following here if you install both.

3.1 PyTorch Geometric (>=1.7.0)

See https://pytorch-geometric.readthedocs.io/en/latest/notes/installation.html/ for installation.

3.2 Deep Graph Library (>=0.7.0)

See https://dgl.ai/ for installation.

Installation

Install from pip

Run the following command to install this package through pip.

pip install autogl

Install from source

Run the following command to install this package from the source.

git clone https://github.com/THUMNLab/AutoGL.git
cd AutoGL
python setup.py install

Install for development

If you are a developer of the AutoGL project, please use the following command to create a soft link, then you can modify the local package without install them again.