Advanced_Grad_Seminar_GNN

This repository contains code and materials that support the Advanced Graduate Seminar on Graph Neural networks, given in Spring 2022.

Folders: node_edge_embeddings_2022-03-2/ Demonstrate a working torch program that takes edge features into account.

Name		Name	Last commit message	Last commit date
Latest commit History 32 Commits
GNN_tools		GNN_tools
link_prediction_2022-04-04		link_prediction_2022-04-04
node_edge_embeddings_2022-03-20		node_edge_embeddings_2022-03-20
recommender_systems_2022-03-28		recommender_systems_2022-03-28
.gitignore		.gitignore
Assignment_Hamilton_pp75-85_2022-01-31.ipynb		Assignment_Hamilton_pp75-85_2022-01-31.ipynb
Derivatives_torch.ipynb		Derivatives_torch.ipynb
First_GNN.ipynb		First_GNN.ipynb
First_GNN_simplified.ipynb		First_GNN_simplified.ipynb
First_GNN_torch_implementation.ipynb		First_GNN_torch_implementation.ipynb
GNN_Tools.ipynb		GNN_Tools.ipynb
GNN_Tools.py		GNN_Tools.py
GNN_torch_agg_update.ipynb		GNN_torch_agg_update.ipynb
Karate_club_1.ipynb		Karate_club_1.ipynb
Karate_club_2.ipynb		Karate_club_2.ipynb
LICENSE		LICENSE
Linear_Regression_in_Pytorch.ipynb		Linear_Regression_in_Pytorch.ipynb
README.md		README.md
Seminar Preliminaries.ipynb		Seminar Preliminaries.ipynb
a.ipynb		a.ipynb
karate_function_library.py		karate_function_library.py

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