In recent years, graph neural networks[1] have been applied to various types of application tasks. This example shows how to train a graph neural network using data calculated with partial differential equations(PDEs) to predict temperature distributions
To get started, clone this repository and run "example_gnn.mlx".
MATLAB version should be R2024a and later (Tested in R2024a)
[1] F. Scarselli, M. Gori, A.C. Tsoi, M. Hagenbuchner, and G. Monfardini. The graph neural network model. IEEE Transactions on Neural Networks, 20(1):61 80, 2009.
The license is available in license.txt file in this GitHub repository.
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