Learning on Graph Conference 2023 - Lausanne Local Meetup

The LoG Meetup in Lausanne is associated with the virtual Learning on Graphs (LoG) Conference, an annual research conference with focus on graph machine learning and geometric deep learning.  To complement the main event with an offline social venue, we bring together computer scientists from the lake Geneva region and all over Switzerland to discuss machine learning on graphs and geometry, from the theory to its application across disciplines.

The meetup will feature five invited talks, followed by a poster session and apéro, providing plenty of opportunities to discuss all things graphs and geometry. To showcase research efforts from the local community, boost interdisciplinary research and foster collaborations, there will be also a poster session. Whether you are an expert or just curious to hear how graphs could be applied in your area, everyone is welcome!

Program:

• 14:00 - 14:15: Introduction
• 14:15 - 14:55: Charlotte Bunne. TBA
• 14:55 - 15:35: Clément Vignac: "Discrete denoising diffusion models for graph generation"
• 15:35 - 15:55: Mehmet Akdel: "DiffMaSIF: score-based diffusion models for protein surfaces"
• 15:55 - 16:20: Break
• 16:20 - 17:00: Dorina Thanou: "Graph representations for biology and medicine: Challenges and applications"
• 17:00 - 17:40: Michaël Defferrard. TBA
• 17:40 - 19:30: Poster session