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Graphs in Artificial Intelligence
and
Neural Networks

Current events:

We have no events planed for the near future. Once the next event is coming up, we will inform you here.

Past events:

Workshop: Topics in Graph Neural Networks

Our Workshop "Hot Topics in Graph Neural Networks" took place at the 25th of October 2022. In this Workshop, the work of the GAIN group is addressed containing 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.
For this we invited great speakers in the field of graph neural networks, with Petar Veličković, Fabian Jogl, Maximilian Thiessen, Massimo Perini, Antonio Longa and Hannes Stärk.

In case you have missed this amazing Workshop we provide the recordings of all Talks below. The corisponding slides are available in PDF format by clicking on the titel of the talk.

Workshop Talks

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

Network Geometry
Marián Boguña

Geometric Deep Learning
Michael Bronstein

Networks in Renewable Energies
Martin Braun, Alexander Scheidler

Spin Networks
Daniel Martinez

Cooperations

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'.

The responsibility for the content of this website or of any publication lies with the author.