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added youtube links to README tutorial's titles
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README.md

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### Tutorials:
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* Tutorial1: What is Geometric Deep Learning?
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* Tutorial1: [What is Geometric Deep Learning?](https://youtu.be/JtDgmmQ60x8)
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* Tutorial2: PyTorch basics.
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* Tutorial2: [PyTorch basics.](https://youtu.be/UHrhp2l_knU)
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* Tutorial3: Graph Attention Network GAT.
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* Tutorial3: [Graph Attention Network GAT.](https://youtu.be/CwsPoa7z2c8)
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* Tutorial4: Convolutional Layers - Spectral methods.
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* Tutorial4: [Convolutional Layers - Spectral methods.](https://youtu.be/Ghw-fp_2HFM)
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* Tutorial5: Aggregation Functions in GNNs.
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* Tutorial5: [Aggregation Functions in GNNs.](https://youtu.be/tGXovxQ7hKU)
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* Tutorial6: Graph Autoencoders and Variational Graph Autoencoders.
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* Tutorial6: [Graph Autoencoders and Variational Graph Autoencoders.](https://youtu.be/qA6U4nIK62E)
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* Tutorial7: Adversarially regularized GAE and VGAE.
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* Tutorial7: [Adversarially regularized GAE and VGAE.](https://youtu.be/hZkLu2OaHD0)
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* Tutorial8: Graph Generation.
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* Tutorial8: [Graph Generation.](https://youtu.be/embpBq1gHAE)
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* Tutorial9: Recurrent Graph Neural Networks.
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* Tutorial9: [Recurrent Graph Neural Networks.](https://youtu.be/v7TQ2DUoaBY)
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* Tutorial10: DeepWalk and Node2Vec (Theory).
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* Tutorial10: [DeepWalk and Node2Vec (Theory).](https://youtu.be/QZQBnl1QbCQ)
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* Tutorial11: DeepWalk and Node2Vec (Practice).
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* Tutorial11: [DeepWalk and Node2Vec (Practice).](https://youtu.be/5YOcpI3dB7I)
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* Tutorial12: Edge analysis.
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* Tutorial12: [Edge analysis.](https://youtu.be/m1G7oS9hmwE)
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* Tutorial12: Metapath2vec.
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* Tutorial13: [Metapath2vec.](https://youtu.be/GtPoGehuKYY)
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* Tutorial14: [Data handling in Pyg (part 1)](https://youtu.be/Vz5bT8Xw6Dc)
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* Tutorial15: [Data handling in Pyg (part 2)](https://youtu.be/Q5T-JdyVCfs)
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* Tutorial16: [Special guest talk - Matthias Fey](https://youtu.be/MA6VH7Vwtb4)
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