Hi! We are Antonio Longa PhD student, and Gabriele Santin and Giovanni Pellegrini, researchers, working between Fondazione Bruno Kessler and the University of Trento, Italy.

This project aims to present through a series of tutorials various techniques in the field of Geometric Deep Learning, focusing on how they work and how to implement them using the Pytorch geometric library, an extension to Pytorch to deal with graphs and structured data, developed by @rusty1s.

You can find our video tutorials on Youtube and at our official website here.

Feel free to join our weekly online tutorial! For more details, have a look at the official website.

• Tutorial1: Open Graph Benchmark -

• Tutorial2: GraphGym

• Tutorial3: Price Graphs: Utilizing the structural information of financial time series for stock prediction

• Tutorial4: Heterogeneous graph learning

• Tutorial5: Advanced mini-batching: Basics and an example with bipartite graphs -

• Tutorial6: Memory efficient aggregations -