Seminar Series
Seminars
Our seminar series brings together researchers working on graphs, machine learning, network science, and related areas.
It aims to foster interactions across complementary research directions, from geometry and mathematical modeling to data-driven and statistical approaches, encouraging the emergence of research collaborations.
Browse past and upcoming talks, discover the speakers, and access slides and event snapshots when available.
2027-03-2025 · 10:00
Sheaf Neural Networks
This seminar provides an accessible introduction to the mathematical concept of sheaves. We will focus in particular on sheaves defined on graphs, explaining their intuition and basic properties in a simple and approachable way. Building on this foundation, we will introduce Sheaf Neural Networks, a recent extension of Graph Neural Networks that uses sheaf structures.
