Graphs in Artificial Intelligence
Neural Networks

Current events:

Workshop: Hot Topics in Graph Neural Networks (25.10.2022)

We are happy to invite you to the workshop "Hot Topics in Graph Neural Networks" of the junior research group GAIN - Graphs in Artificial Intelligence and Neural Networks!

Find out about our current projects and follow exciting talks about new advances in Graph Neural Networks by international speakers. The work of the GAIN group addresses dynamic GNN models, the expressivity of GNN models, and their application in the power grid. Among others, the speakers will enlighten us with their work on Algorithmically-aligned GNNs, the Improvement of Message-passing, and Geometric Machine Learning for Molecules.

The public part of the event will take place on the 25'th of October 2022 from 10am to 6pm. The workshop will be held in a hybrid format, but we are happy if you could come in person! To make the workshop more interactive for everyone who cannot participate in person, we have built a virtual 2D world which you can join to network with other participants! To ensure we can plan accordingly, please visit this link for registration until the 20'th of October. You will then receive access to the 2D world and links to the talks.
If you would like to advertise this workshop, you can find the flyer here.

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Please use this link to enter the 2D world to take part on our workshop. Please take our data privacy into account.

Route to the venue

Pfannkuchstraße 1
34121 Kassel

The nearest tram stop is Murhardstraße/Universität where the trams 1 and 3 stop. For more information on public transportation, visit the web page of the NVV here.

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Session Time Speaker Institution Topic
1 10.00-11.15 GAIN University of Kassel Expressivity and Dynamic of GNNs in theory and applications to the power grid
1 11.20-12.05 Petar Veličković DeepMind / University of Cambridge Algorithmically-aligned GNNs
2 13.15-13.40 Fabian Jogl TU Wien Do we need to Improve Message Passing?
2 13.45-14.10 Maximilian Thiessen TU Wien Expectation Complete Graph Representations using Graph Homomorphisms
2 14.15-15.00 Massimo Perini University of Edinburgh Graph Streams
3 16.00-16.45 Antonio Longa University of Trento Explaining the explainers in GNNs: a comparitive study
3 16.50-17.35 Hannes Stärk Massachusetts Institute of Technology Geometric ML for Molecules

Past events:

Kick-Off AI-Junior-Research-Group GAIN

The kick-off event of our junior research group GAIN took place from 5th to 7th of May 2021 . For those who missed the introduction of our group, the exciting talks on the topic of graphs, graph neural networks and their applications in neuroscience, physics and renewable energies, we have some recordings of the talks below.

For the available slides in PDF format just click on the title of the respective presentation. The invited speakers werde top-level scientists including Franco Scarselli, Viola Priesemann, Matthias Gebhardt, Marián Boguñá, Michael Bronstein, Martin Braun, Alexander Scheidler and Daniel Martinez and with their talks they cover topics from Graph Neural Networks to Quantum Gravity and Power Supply Networks.

Kick-off Talks


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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