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AlbertoFormaggio1 / fine_tuning_classification_prediction_GNN

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Empirical Research over the possible advantages of pretraining a Graph Neural Network for Classification by using Link Prediction. We used GCN, GAT and GraphSAGE with minibatch generation. Done for the Learning From Networks course taught by professor Fabio Vandin at the University of Padova

networks link-prediction gcn pyg node-classification graph-neural-networks gat graph-sage pytorch-geometric gatv2 neighbor-sampling learning-from-networks
  • Updated Feb 12, 2024
  • Python

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