We had a wonderful time full of great talks, discussions and a sunny tour with amazing views through the Bergpark Wilhelmshöhe.
Thank you so much to our speakers Paul Almasan, Balthazar Donon, Simon Geisler, Dominik Köhler, Alan Perotti, Martin Ritzert, Emanuele Rossi, Petar Veličković, Soledad Villar and of course all the participants!
For those who missed the workshop we provide the recordings of most talks below. The corresponding slides are available in PDF format by clicking on the title of the talk.
Graph Neural Networks for Power Systems Operation
Reliable Graph Machine Learning
The most important unsolved problem in graph representation learning
Deep Learning on Real-World Graphs
Hands-on Tutorial on Explaing GNNs
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 enlightened 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 corresponding slides are available in PDF format by clicking on the title 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
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 were top-level scientists including Franco Scarselli, Viola Priesemann, Matthias Gebhardt, Marián Boguñá, Michael Bronstein, Martin Braun, Alexander Scheidler and Daniel Martinez. 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