Monday 7 July
2.30pm: Opening address (Luca Rossi) - Slides
3pm - 4pm: Hamiltonian Learning in Graph Neural Networks (Marco Gori) - Slides
4pm - 6pm: Coffee break ☕ & Poster session
7pm: Buffet dinner
Tuesday 8 July
8.30am - 10am: Intro to Deep Learning on Graphs (Andrea Torsello) - Slides
10am - 10.30am: Coffee break ☕
10.30am - 12pm: Hands-on session: deep learning on graphs with Python (Luca Cosmo) - Colab files
12pm - 2pm: Lunch
2pm - 4pm: Expressivity in Graph Learning: From Sets to Graphs (Nils Kriege) - Slides
4pm - 4.30pm: Coffee break ☕
4.30pm - 6pm: Expressivity in Graph Learning: From Sets to Graphs (Nils Kriege) - Slides
8pm: Social dinner
Wednesday 9 July
8.30am - 10am: Generative Models for Graphs (Richard Wilson) - Slides and Colab files
10am - 10.30am: Coffee break ☕
10.30am - 12am: Generative Models for Graphs (Richard Wilson) - Slides and Colab files
12pm - 2pm: Lunch
2pm - 4pm: From Text to Graphs: Rethinking Model Merging for Structured Data (Emanuele Rodolà) - Slides
4pm: Closing address