PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)

This repo contains the experiments performed for link prediction, multi-class classification and pairwise node classification task.

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

Final Year Project