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neighbor-sampling

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AlbertoFormaggio1 / 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

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

SV25-22 / FuseSampleAgg

CUDA/PyTorch operator for fused neighborhood sampling and mean aggregation, with reproducible KSEM 2026 experiments.

reproducible-research cuda pytorch high-performance-computing graph-processing gpu-computing graph-neural-networks pytorch-extension knowledge-graphs neighbor-sampling

Updated Jul 22, 2026
Python

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