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Experiments that evaluate the effect of incorporating a Gaussian smoothing kernel for weighting the messages from the neighbor nodes according to their proximity.

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Weighted Message Passing Neural PDE Solvers

Follow-up on the work of Johannes Brandstetter*, Daniel Worrall*, Max Welling: Message Passing Neural PDE Solvers. This project builds upon their original repository: Link to code.

This repository contains experiments that evaluate the effect of incorporating a Gaussian smoothing kernel for weighting the messages from the neighbor nodes according to their proximity. The main changes are in experiments/models_gnn.py.

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Experiments that evaluate the effect of incorporating a Gaussian smoothing kernel for weighting the messages from the neighbor nodes according to their proximity.

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