Schedule

9h30 – 10h: Introduction & Coffe

10h – 11h: Keynote talk by Stephan Günnemann (TUM) *
"Covering Multiple Scales: Graph Machine Learning for Science"

11h – 11h20: Giannis Nikolentzos (Polytechnique)
"Towards more Intuitive Graph Neural Networks via Trainable Latent Graph Layers"

11h20 – 11h40: Rémi Flamary (Polytechnique)

11h40 – 12h: Slimane Thabet (PASQAL, Sorbonne)
"Graph machine learning with neutral atoms quantum computers"

12h – 13h30: Lunch break

13h30 – 14h30: Keynote talk by Christopher Morris (RWTH Aachen University) *
"Expressivity and Generalization Abilities of GNNs"

14h30 – 14h45: Christian Koke (TUM)

14h45 – 15h: Michalis Chatzianastasis (Polytechnique)
"Prot2Text: Multimodal Protein’s Function Generation with GNNs and Transformers"

15h – 16h: Poster session

16h – 18h: Learning-on-Graphs main Conference live-stream
Orals and Keynote talk by Kyle Krammer.


* denotes virtual speakers.