Graph machine learning

Tutorial @ NLDL 2022

10 January 2022 - Online Event

In this tutorial we will get a glimpse of machine learning on graphs. The presentation is divided into 3 parts of 30 min. First we will go through an introduction to graphs, data on graphs and how to handle them using Python. Secondly, we will learn how to visualize networks in an interactive and colorful manner. Thirdly, we will design some graph neural networks and play with them.


The tutorial is focused on the practical side and comes along with jupyter notebooks and Google Colabs files.

The material for the course can be found here.


Filippo Maria Bianchi

I am an Associate Professor at the Department of Mathematics and Statistics at UiT the Arctic University of Norway.
My research interests lie at the intersection between machine learning, dynamical systems and complex networks.
The areas where I apply my research are mostly focused on energy analytics and remote sensing.