Graph neural supply imbalance prediction

The advanced question in graph neural supply imbalance prediction is how the model behaves when assumptions fail. A sound design makes uncertainty, constraints and fallback actions explicit.

Practitioner lens

Separate prediction from action in graph neural supply imbalance prediction: identify what is estimated, what is optimized and which business rules must remain binding regardless of model confidence.

First experiment

Write down the objective, constraints, uncertainty set and decision horizon before selecting a solver or model.

This is an original educational brief. It is a starting point for discussion, not a claim that one technique fits every supply chain.