alibaba/graph-gpt

Generative Pre-trained Graph Eulerian Transformer [ICML2025]

42
/ 100
Emerging

This project helps data scientists and machine learning engineers analyze and generate graph-structured data more effectively. It takes various graph datasets as input and outputs advanced graph foundation models that can predict properties or generate new graph structures. It is ideal for researchers and practitioners working with complex network data like social networks, molecular structures, or citation graphs.

101 stars.

Use this if you need to build highly accurate predictive models or generative models for large-scale graph data, especially if you're exploring diffusion-based approaches.

Not ideal if your graphs are very small or simple, or if you need a solution for non-graph data types.

graph-analytics network-science materials-informatics cheminformatics social-network-analysis
No Package No Dependents
Maintenance 6 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 11 / 25

How are scores calculated?

Stars

101

Forks

8

Language

Python

License

MIT

Last pushed

Dec 23, 2025

Commits (30d)

0

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