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@@ -7,7 +7,7 @@ To be published by MIT Press Dec 5th 2023.<br>
 
 <h2> Download draft PDF </h2>
 
-<a href="https://github.com/udlbook/udlbook/releases/download/v1.1.3/UnderstandingDeepLearning_01_10_23_C.pdf">Draft PDF Chapters 1-21</a><br> 2023-10-01. CC-BY-NC-ND license
+<a href="https://github.com/udlbook/udlbook/releases/download/v1.14/UnderstandingDeepLearning_13_10_23_C.pdf">Draft PDF Chapters 1-21</a><br> 2023-10-13. CC-BY-NC-ND license
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  <img src="https://img.shields.io/github/downloads/udlbook/udlbook/total" alt="download stats shield">
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@@ -125,8 +125,8 @@ Instructions for editing figures / equations can be found <a href="https://drive
 	<li> Notebook 12.4 - Decoding strategies: <a href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap12/12_4_Decoding_Strategies.ipynb">ipynb/colab </a>
 	<li> Notebook 13.1 - Encoding graphs: <a href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap13/13_1_Graph_Representation.ipynb">ipynb/colab </a>
 	<li> Notebook 13.2 - Graph classification : <a href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap13/13_2_Graph_Classification.ipynb">ipynb/colab </a>
-	<li> Notebook 13.3 - Neighborhood sampling: (coming soon)
-	<li> Notebook 13.4 - Graph attention: (coming soon)
+	<li> Notebook 13.3 - Neighborhood sampling: <a href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap13/13_3_Neighborhood_Sampling.ipynb">ipynb/colab </a>
+	<li> Notebook 13.4 - Graph attention: <a href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap13/13_4_Graph_Attention_Networks.ipynb">ipynb/colab </a>
 	<li> Notebook 15.1 - GAN toy example: (coming soon)
 	<li> Notebook 15.2 - Wasserstein distance: (coming soon)
 	<li> Notebook 16.1 - 1D normalizing flows: (coming soon)