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0_introduction_to_graph.ipynb
0_introduction_to_graph.ipynb
 
 
10_Graph_Transformers.ipynb
10_Graph_Transformers.ipynb
 
 
1_introduction_to_GNN.ipynb
1_introduction_to_GNN.ipynb
 
 
2_Graph_Attention_Network.ipynb
2_Graph_Attention_Network.ipynb
 
 
3_Scalable_Graph_Neural_Networks.ipynb
3_Scalable_Graph_Neural_Networks.ipynb
 
 
4_Link_prediction_with_GNN.ipynb
4_Link_prediction_with_GNN.ipynb
 
 
5_Graph_Explainer.ipynb
5_Graph_Explainer.ipynb
 
 
6_Temporal_Graph_Neural_Networks.ipynb
6_Temporal_Graph_Neural_Networks.ipynb
 
 
7_Applications_Recommender _Systems.ipynb
7_Applications_Recommender _Systems.ipynb
 
 
7_Deep_Anomaly_Detection_on_Attributed_Networks.ipynb
7_Deep_Anomaly_Detection_on_Attributed_Networks.ipynb
 
 
8_intro_to_networkx.ipynb
8_intro_to_networkx.ipynb
 
 
9_intro_to_pyg.ipynb
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Practice_Assignment.ipynb
Practice_Assignment.ipynb
 
 
Practice_Assignment_Solution.ipynb
Practice_Assignment_Solution.ipynb
 
 
README.md
README.md
 
 

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GNN: From Zero To Hero

Welcome to GNN: From Zero to Hero! This repository is designed as a comprehensive guide for anyone looking to understand and implement Graph Neural Networks (GNNs) from the ground up. Developed for a bootcamp, it includes tutorials and code examples that cover foundational concepts and advanced techniques.

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Graph Neural Networks: From Zero To Hero

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graph-neural-networks torch-geometric gnn-tutorial gnn-bootcamp

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