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

#MachineLearning loves data. #Topology loves shape. Let's bring them together! 👉The Euler Characteristic Transform (ECT) bridges both worlds, as I outline in a recent article in the Notices of the @amermathsoc.bsky.social Engage! 🧵1/n

✨Excited to be at ICML 2025 to share our new evaluation framework for graph-learning datasets, work with @dataspider.bsky.social, @jeremy-wayland.bsky.social, @pseudomanifold.topology.rocks Curious about who shall pass, and who shall not?🤔 Enjoy nods to LoTR?🧝‍♀️ Check out our blog and paper below!

New blog post on overcoming academic impostor syndrome. This arose from great discussions during our group retreat, and I decided to make it publicly available in the hope of providing some utility to #academia. #AcademicSky #AcademicChatter bastian.rieck.me/blog/2025/im...

Our AIDOS Lab website has been fully revamped, thanks to a massive team effort as part of a very fun retreat in #Bern: aidos.group Check out our research directions and some of the things we have been up to these days! #Academia #MachineLearning

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. 🧵1/n