GNN-for-Combinatorial-Optimization

IvanIsCoding

JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.

optimization

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3 Forks

59 Watchers

Jupyter Notebook Language

mit License

Cost to Build

$13.0K

Market Value

$26.2K

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Growth over time

1 data points · 2025-09-25 → 2025-09-25

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What is the IvanIsCoding/GNN-for-Combinatorial-Optimization GitHub project? Description: "JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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