Descriptif

The focus of this course is on graph mining, a set of techniques for analysing and learning from graph data (e.g., social networks, Web graphs, knowledge graphs, biological networks)

You will learn how real graphs are structured, with a focus on the scale-free and small-world properties.

You will also learn how to find the most important nodes in the graph, how to detect clusters of nodes, and how to predict labels using the graph structure.

A large part of the course will be devoted to programming in Python where you will have to implement various algorithms for analysing real datasets.