Update README.md

Author: tfukumot

README.md

@@ -1,10 +1,14 @@
 # Graph Neural Network for Heat Transfer Problem
 
 
-In recent years, graph neural networks[1] are applied to various types of application tasks. 
+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
 
-<img src="https://github.com/matlab-deep-learning/Graph-Neural-Network-for-Heat-Transfer-Problem/blob/main/ref_images/result.png" width="720">
+<img src="https://insidelabs-git.mathworks.com/tfukumot/graph-neural-network-for-heat-transfer-problem/-/raw/main/ref_images/result.png" width="720">
+
+
+## **How to get started**
+To get started, clone this repository and run "example_gnn.mlx".
 
 
 ## **Requirements**
@@ -21,19 +25,10 @@ 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.
 
+
 ## **License**
 The license is available in license.txt file in this GitHub repository.
 
-## Author:
-![Image of MATLAB](http://www.mathworks.com/includes_content/nextgen/images/bg_header_mwlogo_notag.jpg)
-
-### Takuji Fukumoto
-Product Marketing, MathWorks
-
-### Ben Wells-Day
-Language of Tech. Computing, MathWorks
-
-
 Copyright (c) 2024, The MathWorks, Inc.