This is an exciting collaboration with
@limbeckkat.bsky.social, Lydia Mezrag, and Guy Wolf, supported by @tum.de, @helmholtzmunich.bsky.social, @mila-quebec.bsky.social, @umontreal.ca, and @unifr.bsky.social.

🖖

🧵6/6

Want to learn more?

🌟Check out our paper, code, blog post, and video!🌟

📜 Paper: arxiv.org/abs/2506.11700
🖥️ Code: github.com/aidos-lab/ma...
📄 Blog: aidos.group/blog/magedge/
📽️ Video: youtu.be/uQts_HR1uSA

🧵5/6

And it just works!

Our pooling methods perform well across tasks and…

🏆 …reach top classification and regression performance.
🔥 …retain this robust performance across pooling ratios.
✨ …preserve graph structure and spectral properties

🧵4/n

But…how?

🔍 We contract the most redundant edges that are least relevant for the graph’s structural diversity as measured by the magnitude or spread of a graph.

🧵3/n

Why do we need structure-aware pooling, anyway?

🔮Our methods, MagEdgePool and SpreadEdgePool, faithfully preserve the original graphs’ geometry.

Alternative pooling layers destroy graph structure to varying extents.

🧵2/n

Big graph, little compute?

In our #NeurIPS2025 paper we propose geometry-aware edge-contraction-based pooling methods for GNNs.

Our methods preserve graph structure, make interpretable pooling choices, and ensure robust performance at downstream tasks.

🧵1/n

🔥 Friends, I finally collected them all. As of last week, I am finally tenured. 🔥

Thanks to everyone who supported me, in particular my great team (aidos.group), my equally great collaborators, and everyone else who brought their offerings to the fickle fates of academia!

#Academia #Tenure

Hi! 👋 Emily Simons here, Fulbright Student Researcher with the AIDOS Lab at #HelmholtzMunich.

Happy to be sharing my first contribution to AIDOS in this 🧵.

Say hiya to SCOTT, the perfect holiday (software) package🎁for the #curvature and #graph enthusiast in your life.

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