We have no events planed for the near future. Once the next event is coming up, we will inform you here.
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.
Do we need to improve Message Passing?
Expectation Complete Graph Embeddings Using Graph Homomorphisms
Learning on Streaming Graphs
Geometric ML for Molecules
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
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.
Graph Neural Network Applications
Spreading Dynamics in Neural Nets & Covid19
Networks in Renewable Energies
Martin Braun, Alexander Scheidler
Graph Use Cases in the Electrical PowerGrid