THUMNLab/AutoGL
An autoML framework & toolkit for machine learning on graphs.
This tool helps researchers and developers automatically build and optimize machine learning models for graph-structured data. You provide your graph datasets, and it outputs highly optimized models for tasks like node classification, link prediction, or graph classification. It's designed for machine learning practitioners working with complex network data who want to automate model selection and hyperparameter tuning.
1,137 stars.
Use this if you need to quickly find the best machine learning model and its optimal settings for your graph data without extensive manual experimentation.
Not ideal if you prefer to manually construct and fine-tune every aspect of your graph neural networks from scratch or are not working with graph-structured data.
Stars
1,137
Forks
122
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 20, 2025
Commits (30d)
0
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