Graphs are among the most widely-used data structures in machine learning. Their power comes from the flexibility of capturing relations (edges) of collections of entities (nodes) which arise in a ...

Graphs naturally generalize unstructured vectorial data and structured data such as time series, images or bags of entities. The goal of this course is to provide an overview of the fundamental ...

Graph-structured data are pervasive in the real-world such as social networks, molecular graphs and transaction networks.

Knowledge graphs are more than just a data structure; they are a fundamental tool that allows AI to mirror the complexity of the real world.