NetSci-X Tutorial: A Gentle Introduction to Deep Graph Learning

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data		data
01_introduction.ipynb		01_introduction.ipynb
02_git_vscode.ipynb		02_git_vscode.ipynb
03_pathpyG.ipynb		03_pathpyG.ipynb
04_network_visualisation.ipynb		04_network_visualisation.ipynb
05_logistic_regression.ipynb		05_logistic_regression.ipynb
06_supervised_graph_learning.ipynb		06_supervised_graph_learning.ipynb
07_perceptron.ipynb		07_perceptron.ipynb
08_torch_SGD.ipynb		08_torch_SGD.ipynb
09_neural_networks.ipynb		09_neural_networks.ipynb
10_image_convolutions.ipynb		10_image_convolutions.ipynb
11_CNNs.ipynb		11_CNNs.ipynb
12_torch_geometric_MP.ipynb		12_torch_geometric_MP.ipynb
13_Node_Attributes.ipynb		13_Node_Attributes.ipynb
14_Semi_Supervised.ipynb		14_Semi_Supervised.ipynb
15_GCNs.ipynb		15_GCNs.ipynb
README.md		README.md

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