GraphCanon updated Sep 30, 2026 · GitHub synced Sep 30, 2026
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Decision brief
AutoGL is an AutoML framework for machine learning on graphs, specializing in automated hyperparameter optimization and neural architecture search for various graph data tasks.
Good fit when
- When you need to automate the process of optimizing hyperparameters and searching through different neural architectures for complex graph-based datasets.
- If your project requires leveraging either PyTorch Geometric or Deep Graph Library as backend support, enabling seamless integration with these deep learning libraries.
Avoid when
- For scenarios where the dataset does not involve graph structures, as AutoGL is specifically designed to handle such data types, potentially leading to suboptimal results on non-graph datasets.
- If your project relies heavily on frameworks other than PyTorch or backends outside of PyTorch Geometric or Deep Graph Library, considering it may pose integration challenges or inefficiencies.
- Requirements:
- Min 8 GB RAM; Requires Python version >= 3.6.0.; Must include a backend library for graph processing; either PyTorch Geometric (>=1.7.0) or Deep Graph Library (DGL, >=0.7.0).; PyTorch version should be >=1.6.0.
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (314d since push)
- As of Sep 30, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 30, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
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Install
pip install AutoGLSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Supports automated hyperparameter optimization and neural architecture search for graph data.
Capability facts
- Languages
- python
Source: github.language · Sep 30, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
Requirements Please make sure you meet the following requirements before installing AutoGL. 1. Python = 3.6.0 2. PyTorch ( =1.6.0) see <https://pytorch.org/ for installation. 3. Graph Library Backend You will need either PyTorch Geometric (PyG) or Deep Graph Library (DGL) as the...
For agents
This page has a .md twin and JSON over the API.