THUMNLab/AutoGL
An AutoML framework and toolkit for automating machine learning on graph-structured data.
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AutoGL automates graph learning tasks by handling neural architecture search, hyperparameter optimization, and model selection. Built on PyTorch and PyTorch-Geometric, it provides a full pipeline for graph neural network development including graph robustness algorithms, self-supervised learning modules, and integration with NAS-Bench-Graph for benchmark-based architecture search.
Frequently asked
- What is THUMNLab/AutoGL?
- An AutoML framework and toolkit for automating machine learning on graph-structured data.
- Is AutoGL open source?
- Yes — THUMNLab/AutoGL is open source, released under the Apache-2.0 license.
- What language is AutoGL written in?
- THUMNLab/AutoGL is primarily written in Python.
- How popular is AutoGL?
- THUMNLab/AutoGL has 1.1k stars on GitHub.
- Where can I find AutoGL?
- THUMNLab/AutoGL is on GitHub at https://github.com/THUMNLab/AutoGL.