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. 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.
|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||Rakshit Trivedi||Harvard School Of Engineering And Applied Sciences||TBD|
|3||16.50-17.35||Hannes Stärk||Massachusetts Institute of Technology||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 & Covid
Graph Use Cases in the Electrical Power