Leipziger Herbst im Rosental von Thomas Wagner | Luftbilder Leipzig
This meetup aims to bring together the graph learning community of Leipzig, Mitteldeutschland, and beyond. We want participants to get to know each other, start collaborations and discuss science in general and graphs in particular. LoG meetup Leipzig happens two weeks before the LoG conference 2026 and acts as a local networking and meetup event. If you have a paper at log or are generally interested in graph learning and live somewhat nearby, consider meeting your local peers!
Submissions: We accept any kind of submissions for presentation at our workshop: Submissions that are accepted at LoG, submissions accepted elsewhere, submissions that are currently under review at other venues, work in progress, etc.
If necessary, we will select submissions based on relevance to the graph learning community.
Authors whose papers/posters are accepted to the workshop will have the opportunity to participate in a pitch and poster session, and several will also be chosen for oral presentation. The accepted papers/posters will be published on this website and will not be considered archival for resubmission purposes.
Franka Bause
CISPA Helmholtz Center for Information Security
Franka is a Postdoc in the Relational Machine Learning Lab of Rebekka Burkholz at CISPA Helmholtz Center for Information Security. She completed her doctorate with distinction in the Data Mining and Machine Learning (Machine Learning with Graphs) group at University of Vienna in 2025. Both her Bachelor’s and Master’s degrees are from TU Dortmund University, where she graduated with honors in 2020. Frankas research mostly centers around graph learning and similarity measures for graphs, with the aim of improving both efficiency and accuracy.
Alice Moallemy-Oureh
GASCADE Gastransport GmbH
Alice is in the final phase of her doctoral studies at the University of Kassel. Alongside her research, she works as a Solutions Architect for AI and Innovation at GASCADE. Her doctoral project, GAIN (Graphs in Artificial Intelligence and Neuronal Networks), is carried out in cooperation with Fraunhofer IEE and the University of Kassel. In it, she develops graph neural networks capable of processing attribute-dynamic graphs in continuous time. In her role at GASCADE, Alice serves as a central point of contact between different departments. She creates AI solutions and automations that not only drive innovation forward but also make her colleagues’ everyday work easier and more rewarding.
| 10.00h | Welcome Coffee |
| 10.30h |
Contributed Talk Kossi Amouzouvi: Graphlets as Building Blocks for Structural Vocabulary in Knowledge Graph Foundation Models |
| 11.00h | Coffee Break |
| 11.30h |
Contributed Talk Daumantas Kojelis: Constant-Depth Rational-Weight GNNs and their Connection to Schanuel's Conjecture |
| 12.00h |
Contributed Talk Maurice Funk: Understanding the Expressive Power of GNNs with Global Readout |
| 12.30h | Lunch |
| 14.00h |
Contributed Talk Carsten Seemann: Unique Decompositions into Irreducible Planar Median Graphs |
| 14.30h |
Contributed Talk Marzieh Eidi: Graph and Hypergraph Learning for Complex Network Analysis |
| 15.00h | Coffee Break |
| 15.30h |
Contributed Talk Lukas Böhm: GCGen: Generating Synthetic Graph Datasets for Structural Rule Discovery |
| 16.00h | Invited Talk Franka Bause: Efficient and Expressive Graph Learning |
| 17.00h | Begin of Poster Session and Discussion Round |
| 20.00h | End of Official Program |
| 9.00h | Welcome Coffee |
| 9.30h |
Contributed Talk Nicolás Hinrichs: Aligning neural manifolds through synchrony and connectomics |
| 9.00h |
Contributed Talk Michal Czuba: Graph Data Augmentation via Contrastive Generator Inversion (DCBA) |
| 10.00h |
Contributed Talk Tieu-Long Phan: On the Redistribution of Electrons: Curly Arrows from Imaginary Transition State Graphs |
| 10.30h | Coffee Break |
| 11.00h |
Invited Talk Alice Moallemy-Oureh: Real World Graphs are Messier than you Think: Lessons from Industrial Graph Learning |
| 12.00h |
Contributed Talk Moritz Schönherr: Expressive Power of Deep Homomorphism Networks over Relational Databases |
| 12.30h | Lunch |
| 14.00h |
Contributed Talk Lukas Ninnemann: Mass conserving graph neural networks for river discharge prediction |
| 14.30h |
Contributed Talk Michal Czuba: Graph Data Augmentation via Contrastive Generator Inversion (DCBA) |
| 15.00h | Closing Remarks and Best Poster Award |
The meetup will take place at Lancaster University Leipzig, Nikolaistraße 10, in the Center of Leipzig. During the days, we will be in room 716 in the seventh floor. Monday evening from 17.00h, we will be in the first floor for the poster session.
Participation is free of charge, but a registration is required to participate.
If you want to present something, please use the submission link to register your talk or poster.
This page tries to be minimalistic in layout, bandwith, and used tools. It is hosted on github pages, using neat.css stylesheets, and bibtexparser to generate the lists of papers.