add tutorials

Author: rusty1s

README.md

@@ -34,6 +34,10 @@ It consists of various methods for deep learning on graphs and other irregular s
 In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, [multi GPU-support](https://github.com/pyg-team/pytorch_geometric/tree/master/examples/multi_gpu), [`DataPipe` support](https://github.com/pyg-team/pytorch_geometric/blob/master/examples/datapipe.py), distributed graph learning via [Quiver](https://github.com/pyg-team/pytorch_geometric/tree/master/examples/quiver), a large number of common benchmark datasets (based on simple interfaces to create your own), the [GraphGym](https://pytorch-geometric.readthedocs.io/en/latest/notes/graphgym.html) experiment manager, and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds.
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+<p align="center">
+  <a href="https://medium.com/stanford-cs224w"><img style="max-width=: 941px" src="https://data.pyg.org/img/cs224w_tutorials.png" /></a>
+</p>
+
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 * [Library Highlights](#library-highlights)