#

learning-from-networks

Here are 2 public repositories matching this topic...

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

Deb0r0h / UK_accidents

graph learning-from-networks

Updated Feb 21, 2024
Jupyter Notebook

Improve this page

Add a description, image, and links to the learning-from-networks topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the learning-from-networks topic, visit your repo's landing page and select "manage topics."