Ever wondered about graph learning? Watch Ameya Velingker and Haggai Maron give a masterful introduction at the Simons Institute's workshop on Graph Learning Meets Theoretical Computer Science. Video: simons.berkeley.edu/talks/ameya-...

i'm looking forward to attending & contributing to the first ever EurIPS meeting (@euripsconf.bsky.social #EurIPS)! glad that i can learn about the most exciting ML research without having to travel to the US to attend a 15k+ person conference. some personal highlights of the program below. 1/n

My maternity leave project is now somewhat out: I made a jupyterbook about the basics of ML, that I teach at TUE. You can check it out here: sibylse.github.io/TUEML/intro.... The linA part is not yet formulated out and there are other todos, but maybe it helps someone with their own course design 😅

EurIPS is coming! 📣 Mark your calendar for Dec. 2-7, 2025 in Copenhagen 📅 EurIPS is a community-organized conference where you can present accepted NeurIPS 2025 papers, endorsed by @neuripsconf.bsky.social and @nordicair.bsky.social and is co-developed by @ellis.eu eurips.cc

After a break in April we welcome all of you to the next session of GLOW🌟 next week! Join and interact with our speakers Christian Koke (scale in GNNs) and Yonatan Sverdlov (sparse geometric MPNNs). 🗓️ May 28th, 5pm CEST on Zoom. 🌐 Details & sign-up: sites.google.com/view/graph-learning-on-weds.

After a break in April we welcome all of you to the next session of GLOW🌟 next week! Join and interact with our speakers Christian Koke (scale in GNNs) and Yonatan Sverdlov (sparse geometric MPNNs). 🗓️ May 28th, 5pm CEST on Zoom. 🌐 Details & sign-up: sites.google.com/view/graph-learning-on-weds.

Almost tight generalisation bounds for large margin voting classifiers and an optimal Majority-of-3-AdaBoosts weak-to-strong learner. Accepted at COLT'25 🥳 arXiv: arxiv.org/pdf/2502.16462

I have an opening for a post doc position in machine learning theory, with a deadline of June 1st. Please share and apply: international.au.dk/about/profil...

Come to Vienna to work at the intersection of AI and biological and medical research. These are fantastic opportunities!

This is happening today! 🌟 Join me at the virtual GLOW seminar (5pm CET) for the first public showing of my 'LLMs as GNNs' talk. 💬🕸️

GLOW is returning on 𝗠𝗮𝗿𝗰𝗵 𝟮𝟲𝘁𝗵, 𝟱𝗽𝗺 𝗖𝗘𝗧 with a special guest: @petar-v.bsky.social 🌟 He will lecture on LLMs as GNNs – a topic which received quite some attention at our last session. Specifically, we will learn how Graph ML tools can help understand LLM generalisation

Apply if you are working on Geometric Deep Learning! Had such a great experience as a student in the past year. This year I will be joining as a mentor along with so many other great researchers! Hope to see you in London ☺️

🌟Applications open- LOGML 2025🌟 👥Mentor-led projects, expert talks, tutorials, socials, and a networking night ✍️Application form: logml.ai 🔬Projects: www.logml.ai/projects.html 📅Apply by 6th April 2025 ✉️Questions? [email protected] #MachineLearning #SummerSchool #LOGML #Geometry

Don’t miss out on this one :) Make sure to tune in today at 17 CET 🌟

GLOW is back this Wednesday, Feb 19th, 5pm CET 🌟 Instead of talks, we’re hosting a casual discussion on where graph learning is headed and where early-career researchers can make the most impact. Join our open conversation with junior and senior graph researchers! sites.google.com/view/graph-l...

I am hiring for a Ph.D. student to work in the areas of social network analysis, algorithms and fair machine learning. Please apply and join our highly motivated team. For more information please see the call: neumannstefan.com/hiring/

Maximally Expressive GNNs for Outerplanar Graphs Franka Bause, Fabian Jogl, Patrick Indri et al. Action editor: Ellen Vitercik https://openreview.net/forum?id=XxbQAsxrRC #graphs #graph #mpnns

Join us in 30 mins! 🌟

In two hours (i.e., 5pm CET), we'll have the first GLOW meeting of the year. Join us for two interesting talks and detailed discussions!

GLOW is starting in 30 minutes! Super excited about the talks today: First Transformer reasoning and then NNs that take other NNs as input 🌟 See you there!!

🌟 GLOW 2025 kicks off with a great session in January! Join and interact with our speakers Clayton Sanford (on transformers for graph algorithms) and Derek Lim (on graph metanetworks). 🗓️ Jan 15th, 5pm CET on Zoom. 🌐 Details & sign-up: sites.google.com/view/graph-learning-on-weds.

The theory of interpretable AI seminar is back after the holiday season! 🎅🤶 Our next talk is next Thursday by Yishay Mansour who will talk about interpretable approximations 💻 Website: tverven.github.io/tiai-seminar/ ⏰Date: 16 Jan

if you're into graph theory and its applications to drug discovery you might enjoy this short (7min) talk by two budding researchers 👏

Ever needed a graph neural network with maximal expressivity on almost all molecules (aka 𝗼𝘂𝘁𝗲𝗿𝗽𝗹𝗮𝗻𝗮𝗿 graphs)? Turns out you only need a simple graph transformation called 𝐶𝐴𝑇! Short talk: youtube.com/watch?v=AW6C... TMLR paper: openreview.net/forum?id=XxbQA

EEML'25, our yearly machine learning summer school event, will be organised next summer in the beautiful city of Sarajevo - the place where East meets West 🇧🇦🇧🇦🇧🇦. More details coming soon, please see the link in the thread!

Announcing the accepted papers for ALT 2025! It was a very competitive year, and we were able to accept only 51 of 144 submissions. Thanks to my co-chair Po-Ling Loh and the entire program committee for their hard work! See you in Milan in February! algorithmiclearningtheory.org/alt2025/acce...

ALT 2025: list of accepted papers. Congratulations to the authors ! openreview.net/group?id=alg...

Join this year's last edition of Graph Learning on Wednesdays (GLOW) tomorrow at 5pm CET!

🌟 GLOW is coming back in December with amazing speakers: Emily Jin and @joshsouthern.bsky.social ! 🗓️ Dec 18th @ 17 CET on Zoom, don't miss that! 🌐 Find more here: sites.google.com/view/graph-l...

Give yourself an early Christmas present: Visit GLOW and learn about two amazing papers and interact with their authors!

Looking forward to speaking at this!

Ever wondered how 𝗮𝗯𝘀𝘁𝗲𝗻𝘁𝗶𝗼𝗻 can help you with 𝘢𝘥𝘷𝘦𝘳𝘴𝘢𝘳𝘪𝘢𝘭 𝘤𝘰𝘯𝘵𝘦𝘹𝘵𝘶𝘢𝘭 𝘣𝘢𝘯𝘥𝘪𝘵𝘴? Come chat with my colleagues next week in Vancouver or meet me in the next two days at the NeurIPS@Paris meetup! arxiv.org/abs/2402.14585 #NeurIPS #neurips2024

Reminder: we meet in (slightly less than) 5 hours, please join!

Join our new reading group GLOW on the foundations of graph learning. Everybody is welcome! 🌟 Next meeting: Nov 20th! 👀 Speakers: Paolo Pellizzoni and Maya Bechler-Speicher sites.google.com/view/graph-l...

Here is an initial starter pack list on Machine Learning on Graphs: go.bsky.app/HN2MTzp