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Reposted by Max Thiessen

Siby Hess @ilsebyl.bsky.social · Jul 25

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 😅

Welcome to the Data Mining and Machine Learning Book — Data Mining and Machine Learning Jupyter Book

sibylse.github.io

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EurIPS Conference @euripsconf.bsky.social · Jul 16

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

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Max Thiessen @maxthiessen.bsky.social · Jun 30

🌟 Tune in for GLOW's summer session this Wednesday!

🗓️ July 2nd, 5pm CEST on Zoom!

🌴Baran Hashemi
will present Tropical Attention for algo reasoning (arxiv.org/abs/2505.17190)

🧪 Jeremy Wayland
will tell us about the intricacies of benchmarking GNNs (arxiv.org/abs/2502.02379)

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Max Thiessen @maxthiessen.bsky.social · May 25

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.

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Max Thiessen @maxthiessen.bsky.social · May 25

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.

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Kasper Green Larsen @kasperglarsen.bsky.social · May 5

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

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Kasper Green Larsen @kasperglarsen.bsky.social · Apr 30

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...

Post doc position in theory of machine learning at Department of Computer Science, Aarhus University - Vacancy at Aarhus University

Vacancy at Computer Science, Dept. of, Aarhus University

international.au.dk

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Stefan Neumann @neumannstefan.com · Apr 29

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

Michael Bronstein @mmbronstein.bsky.social · Apr 29

A reminder that @aithyra.bsky.social has an open call for starting PIs. We offer some of the best conditions in Europe rivalling MP and ETHZ

www.oeaw.ac.at/aithyra/news...

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Petar Veličković @petar-v.bsky.social · Mar 26

This is happening today! 🌟

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

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Max Thiessen @maxthiessen.bsky.social · Mar 20

Learn more on our homepage sites.google.com/view/graph-l...

Max Thiessen @maxthiessen.bsky.social · Mar 20

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

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Fabrizio Frasca @ffabffrasca.bsky.social · Mar 12

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 ☺️

LOGML Summer School @logml.bsky.social · Mar 11

Join one of the exciting projects led by: @ffabffrasca.bsky.social, Caterina Graziani, Anthea Monod & Omer Bobrowski, Guadalupe Gonzalez & Chirag Agarwal, @sukjulian.bsky.social, Vijay Prakash Dwivedi, Michael Murray, Yasha Ektefaie, Edward Hirst, Tancredi Schettini Gherardini

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LOGML Summer School @logml.bsky.social · Mar 11

🌟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

LOGML 2025

London Geometry and Machine Learning Summer School, July 7-11 2025

logml.ai

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Fabrizio Frasca @ffabffrasca.bsky.social · Feb 19

Don’t miss out on this one :)

Make sure to tune in today at 17 CET 🌟

Max Thiessen @maxthiessen.bsky.social · Feb 17

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...

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Max Thiessen @maxthiessen.bsky.social · Feb 17

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...

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Stefan Neumann @neumannstefan.com · Jan 29

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/

Call for Doctoral Students in Social Network Analysis, Algorithms and Fair Machine Learning

neumannstefan.com

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TMLR Published Papers @tmlr-pub.bsky.social · Jan 16

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

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Fabrizio Frasca @ffabffrasca.bsky.social · Jan 15

Join us in 30 mins! 🌟

Max Thiessen @maxthiessen.bsky.social · Jan 10

🌟 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.

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Pascal Welke @pascalwelke.bsky.social · Jan 15

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!

Max Thiessen @maxthiessen.bsky.social · Jan 10

🌟 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.

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Luis Müller @luismueller.bsky.social · Jan 15

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!!

Max Thiessen @maxthiessen.bsky.social · Jan 10

🌟 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.

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Max Thiessen @maxthiessen.bsky.social · Jan 10

🌟 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.

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Tim van Erven @timvanerven.nl · Jan 10

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

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sliverdaemon.bsky.social @sliverdaemon.bsky.social · Jan 7

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

Max Thiessen @maxthiessen.bsky.social · Jan 7

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

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Max Thiessen @maxthiessen.bsky.social · Jan 8

Corrected link openreview.net/forum?id=Xxb...
Thanks @sliverdaemon.bsky.social for pointing this out.

Maximally Expressive GNNs for Outerplanar Graphs

We propose a linear time graph transformation that enables the Weisfeiler-Leman (WL) algorithm and message passing graph neural networks (MPNNs) to be maximally expressive on outerplanar graphs....

openreview.net

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Max Thiessen @maxthiessen.bsky.social · Jan 7

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

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