Tutorials

A curated collection of step-by-step notebooks that demonstrate GSNN’s capabilities:

• General Premise
• Simulating structured data
• Performance comparison on simulated data
• Reinforcement learning for structure optimization
• Gradient checkpointing and compiling
• Uncertainty quantification with hypernetworks
• GSNN Interpretation methods
• DrugCell implementation example
• Inferring output edges

Adding New Tutorials

Place new .ipynb or .rst files in this directory and add them to the toctree above to have them automatically rendered and linked here.