​​Workshop: Hot Topics in Graph Neural Networks

Uni Kassel and Fraunhofer IEE organize a GNN workshop on October 25th, the announced line-up of speakers includes Fabian Jogl (TU Wien), Massimo Perini (University of Edinburgh), Hannes Stärk (MIT), Maximilian Thiessen (TU Wien), Rakshit Trivedi (Harvard), and Petar Veličković (DeepMind). Quoting the chairs:

“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 25th 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!”