Dear all,

this is a reminder for Christopher Morris's talk with the title "Weisfeiler and Leman Go Machine Learning: Expressivity and Generalization of Graph Neural Networks" taking place today at 12:30 in the B-IT room 5053.2. Please find the details below

--- Abstract ---

Graph-structured data is prevalent across various domains, such as chemo-

and bioinformatics, image analysis, and social network analysis. As a result,

there has been a surge in the development of machine-learning methods

explicitly tailored to graphs. Among these methods, (message-passing) graph

neural networks (GNNs) have emerged as the dominant paradigm. Despite

their practical success, GNNs' capabilities and limitations are understood to a

lesser extent. In this talk, we survey results connecting GNNs' expressive power

and generalization abilities to a simple heuristic for the graph isomorphism

problem---the Weisfeiler-Leman algorithm.

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Part of the programme of the research training group UnRAVeL is a series of lectures on the topics of UnRAVeL’s research thrusts algorithms and complexity, verification, logic and languages, and their application scenarios. Each lecture is given by one of the researchers involved in UnRAVeL.

This years topic is "Biggest Milestones - Research at Its Peak", UnRAVeL professors will present the most important milestone of their respective research.

All interested doctoral researchers and master students are invited to attend the UnRAVeL lecture series 2023 and engage in discussions with researchers and doctoral students.

Note that next week there is no talk and then we have the last talk of this year's survey lecture from Joost-Pieter Katoen with the title "Can we meet the deadline? Most probably: yes!"

We are looking forward to seeing you at the lectures.

Kind regards,
Jan-Christoph for the organisation committee