Merge branch 'main' of https://github.com/AntonioLonga/PytorchGeometricTutorial into main

Author: GabrieleSantin

README.md

@@ -1,37 +1,46 @@
 # PytorchGeometricTutorial
-Hi guys, we are Antonio Longa a PhD student, and Gabriele Santin a researcher, we are both working at Fondazione Bruno Kessler Trento (ITALY).
+Hi! We are Antonio Longa and Giovanni Pellegrini, PhD students, and PhD Gabriele Santin, researcher, working between Fondazione Bruno Kessler and the University of Trento, Italy.
 
-This project aims to learn the new amazing framework of Pytorch geometric.
+This project aims to present through a series of tutorials various techniques in the field of Geometric Deep
+Learning, focusing on how they work and how to implement them using the [Pytorch geometric](https://github.com/rusty1s/pytorch_geometric)
+library, an extension to Pytorch to deal with graphs and structured data,
+developed by [@rusty1s](https://github.com/rusty1s).
 
-You can find video tutorials and the official website [here.](https://antoniolonga.github.io/Pytorch_geometric_tutorials/index.html)
+You can find our video tutorials on [Youtube](https://www.youtube.com/user/94longa2112/featured) and at our official website [here.](https://antoniolonga.github.io/Pytorch_geometric_tutorials/index.html)
 
-Feel free to join our weekly online tutorial, for more details, have a look at the  [official website.](https://antoniolonga.github.io/Pytorch_geometric_tutorials/index.html)
+Feel free to join our weekly online tutorial! For more details, have a look at the  [official website.](https://antoniolonga.github.io/Pytorch_geometric_tutorials/index.html)
 
 ### Tutorials:
 
-* Tutorial1: What is Geometric Deep Learning? 
+* Tutorial1: [What is Geometric Deep Learning?](https://youtu.be/JtDgmmQ60x8) - [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/AntonioLonga/PytorchGeometricTutorial/blob/main/Tutorial1/Tutorial1.ipynb)
 
-* Tutorial2: PyTorch basics.
+* Tutorial2: [PyTorch basics.](https://youtu.be/UHrhp2l_knU)
 
-* Tutorial3: Graph Attention Network GAT.
+* Tutorial3: [Graph Attention Network GAT.](https://youtu.be/CwsPoa7z2c8)
 
-* Tutorial4: Convolutional Layers - Spectral methods.
+* Tutorial4: [Convolutional Layers - Spectral methods.](https://youtu.be/Ghw-fp_2HFM)
 
-* Tutorial5: Aggregation Functions in GNNs.
+* Tutorial5: [Aggregation Functions in GNNs.](https://youtu.be/tGXovxQ7hKU)
 
-* Tutorial6: Graph Autoencoders and Variational Graph Autoencoders.
+* Tutorial6: [Graph Autoencoders and Variational Graph Autoencoders.](https://youtu.be/qA6U4nIK62E)
 
-* Tutorial7: Adversarially regularized GAE and VGAE.
+* Tutorial7: [Adversarially regularized GAE and VGAE.](https://youtu.be/hZkLu2OaHD0)
 
-* Tutorial8: Graph Generation.
+* Tutorial8: [Graph Generation.](https://youtu.be/embpBq1gHAE)
 
-* Tutorial9: Recurrent Graph Neural Networks.
+* Tutorial9: [Recurrent Graph Neural Networks.](https://youtu.be/v7TQ2DUoaBY)
 
-* Tutorial10: DeepWalk and Node2Vec (Theory).
+* Tutorial10: [DeepWalk and Node2Vec (Theory).](https://youtu.be/QZQBnl1QbCQ)
 
-* Tutorial11: DeepWalk and Node2Vec (Practice).
+* Tutorial11: [DeepWalk and Node2Vec (Practice).](https://youtu.be/5YOcpI3dB7I)
 
-* Tutorial12: Edge analysis.
+* Tutorial12: [Edge analysis.](https://youtu.be/m1G7oS9hmwE)
 
-* Tutorial12: Metapath2vec.
+* Tutorial13: [Metapath2vec.](https://youtu.be/GtPoGehuKYY)
+
+* Tutorial14: [Data handling in Pyg (part 1)](https://youtu.be/Vz5bT8Xw6Dc)
+
+* Tutorial15: [Data handling in Pyg (part 2)](https://youtu.be/Q5T-JdyVCfs)
+
+* Tutorial16: [Special guest talk - Matthias Fey](https://youtu.be/MA6VH7Vwtb4)