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
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Updated
Feb 12, 2024 - Python