Graphs in Artificial Intelligence
Neural Networks

Kick-Off AI-Junior-Research-Group GAIN

We are happy to invite you to the kick-off of our junior research group GAIN!

Find out what we want to achieve with our research over the next 4 years, follow exciting talks and a panel discussion on the topic of graphs, graph neural networks and their applications in neuroscience, physics and renewable energies!

The event will take place from 5th to 7th of May 2021 , 10am to 4pm.

It consists of 7 talks from top-level scientists including Franco Scarselli, Viola Priesemann, Matthias Gebhardt, Marián Boguñá, Michael Bronstein, Martin Braun, Alexander Scheidler and Daniel Martinez. covering topics from Graph Neural Networks to Quantum Gravity and Power Supply Networks.

Due to the current situation the event will take place online, but to make it more interactive we have built a virtual 2D world where you can join and network with other participants!

In order to be able to manage the event, please register via email to. You will then receive online access and entry to our virtual 2D world.

Link to our 2D world: https://world.kickoff.gain-group.de

Kick-off Schedule

Time Wednesday Thursday Friday
10:00-11:00 Introduction
Network Geometry
Marián Boguña
Networks in Renewable Energies
Martin Braun, Alexander Scheidler
11:00-12:00 Graph Neural Network Applications
Franco Scarselli
Geometric Deep Learning
Michael Bronstein
Spin Networks
Daniel Martinez
14:00-15:00 Spreading Dynamics in Neural Nets & Covid 19
Viola Priesemann

Panel Discussion

Graph-related challenges in Machine Learning and their real-world application
15:00-16:00 Graph Use Cases in the Electrical Power Grid
Matthias Gebhardt


We are funded by the Federal Ministry of Education and Research Germany (BMBF), under the funding code 01IS20047A, according to the 'Policy for the funding of female junior researchers in Artificial Intelligence'.

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