https://github.com/matlab-deep-learning/graph-neural-network-for-heat-transfer-problem
https://github.com/matlab-deep-learning/graph-neural-network-for-heat-transfer-problem
Last synced: 2 months ago
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- Host: GitHub
- URL: https://github.com/matlab-deep-learning/graph-neural-network-for-heat-transfer-problem
- Owner: matlab-deep-learning
- License: bsd-3-clause
- Created: 2024-08-19T22:47:54.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2024-09-17T20:08:45.000Z (8 months ago)
- Last Synced: 2025-01-10T14:45:30.461Z (4 months ago)
- Size: 725 KB
- Stars: 8
- Watchers: 6
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: license.txt
- Security: SECURITY.md
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README
# Graph Neural Network for Heat Transfer Problem
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
## **How to get started**
To get started, clone this repository and run "example_gnn.mlx".
## **Requirements**
- [MATLAB ®](https://jp.mathworks.com/products/matlab.html)
- [Deep Learning ToolboxTM](https://jp.mathworks.com/products/deep-learning.html)
- [Partial Differential Equation Toolbox
TM](https://www.mathworks.com/products/pde.html)
MATLAB version should be R2024a and later (Tested in R2024a)
## **References**
[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.
## **License**
The license is available in license.txt file in this GitHub repository.
## **Open in MATLAB Online**
[](https://matlab.mathworks.com/open/github/v1?repo=matlab-deep-learning/Graph-Neural-Network-for-Heat-Transfer-Problem)
Copyright (c) 2024, The MathWorks, Inc.