neighbor-sampling

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/ fine_tuning_classification_prediction_GNN
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
gat gatv2 gcn graph-neural-networks graph-sage link-prediction networks node-classification pyg pytorch-geometric learning-from-networks neighbor-sampling
Language:Python

/ fine_tuning_classification_prediction_GNN