Christopher Morris

This will be great newgraphperspectives.com.

Graph Learning Meets Theoretical Computer Science Graph learning is a branch of machine learning focusing on developing and studying methods to make predictions for vertices, subgraphs, or entire graphs. The field of graph learning has already reveal...

If you are in the Bay Area, consider attending our workshop, "Graph Learning Meets TCS," at the Simons Institute (simons.berkeley.edu/workshops/gr...).

Repetition Makes Perfect: Recurrent Sum-GNNs Match Message Passing Limit We provide first tight bounds for the expressivity of Recurrent Graph Neural Networks (recurrent GNNs) with finite-precision parameters. We prove that recurrent GNNs, with sum aggregation and ReLU act...

An interesting paper by Eran Rosenbluth and Martin Grohe, www.arxiv.org/abs/2505.00291, shows a connection between polynomial-time algorithms and recurrent GNNs.

Responsible Reviewing Initiative for NeurIPS 2025 – NeurIPS Blog Communications Chairs 2025 2021 Conference

Responsible reviewing initiatives for NeurIPS 2025 - read more about changes to reviewing that that will safeguard reviewing quality and timeline in our blog post below:
blog.neurips.cc/2025/05/02/r...

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...

Computational Capability and Efficiency of Neural Networks: A Repository of Papers

I compiled a list of theoretical papers related to the computational capabilities of Transformers, recurrent networks, feedforward networks, and graph neural networks.

Link: github.com/opallab/neur...

🚨 We’re recruiting organizers for LoG 2025!

Join us in shaping the next Learning on Graphs conference at UCLA this fall.

Passionate about graph ML & building community? Apply by Apr 11 (AOE) 🌍

📋 Form: docs.google.com/forms/d/e/1F...

🏠LoG website: logconference.org

Emmy Noether Groups “Methods in Artificial Intelligence”

www.dfg.de/en/news/news...

Thanks, Leo!

Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks While machine learning on graphs has demonstrated promise in drug design and molecular property prediction, significant benchmarking challenges hinder its further progress and relevance. Current bench...

This is my favourite "graph paper" of the last 1 or 2 years. We also need to start including non-NN baselines, e.g. fingerprints+catboost ---if the goal is real-world impact and not getting it published asap. I also recommend following @wpwalters.bsky.social's blog.
arxiv.org/abs/2502.14546

Joint work with Antonis Vasileiou, Ben Finkelshtein, Ron Levie, and Floris Geerts.

In arxiv.org/abs/2412.07106, we leverage modern graph similarity—capturing the fine-grained geometry of MPNNs' feature space—to derive generalization bounds for MPNNs. Our theory is broad, covering various aggregation and loss functions.

Want to know about the current understanding of the generalization abilities of GNNs? Please have a look at our survey paper arxiv.org/abs/2503.15650.

Joint work with Antonis Vasileiou, Stefanie Jegelka, and Ron Levie.

Search for LIFE SCIENCE and AI/ML Starting Principal Investigators (m/f/d) at AITHYRA, Vienna If you are an ambitious early-career scientist ready to propel your research to new heights, we invite you to be part of AITHYRA’s founding generation of Principal Investigators. Together, we will sha...

Aithyra is hiring! We are looking for multiple starting PIs in life sciences and AI/ML. We offer highly competitive packages and salaries among the highest in Europe.

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

Very interesting work arxiv.org/pdf/2503.01431 from @bifold.berlin showing that @luismueller.bsky.social's
edge transformer arxiv.org/abs/2401.10119 achieves SOTA performance on molecular dynamics.

Weisfeiler and Leman strike again. 💪

The Graduate School educates students for the rising worldwide demand for specialists with expertise in Data Management and Machine Learning. With a strong research focus, we are committed to training the next generation of curious and innovative data science professionals - individuals who challenge assumptions, seek answers to critical questions, and uphold ethical standards in their work.

Join BIFOLD as a doctoral student in our Graduate School. Apply until February 03, 2025.

Job ID: www.jobs.tu-berlin.de/en/job-posti...

#jobvacancy #jobalert #postdocposition #postdocfellowship
#ScienceJobs #AI #research #Berlin @tuberlin.bsky.social

Deepseek rüttelt die KI-Welt auf – eine Chance gerade für Deutschland — F.A.Z. Digitalwirtschaft Haben die Chinesen in der Künstlichen Intelligenz geschafft, wovon Amerikaner und Europäer bislang nur träumen? Haben die Tüftler eines Start-ups aus Fernost die führenden Internetkonzerne des Westens...

Der Informatiker @kerstingaiml.bsky.social (TU Darmstadt / @dfki.bsky.social) ordnet im FAZ-Podcast Digitalwirtschaft #DeepSeek ein und welche Chancen sich für Europa öffnen. overcast.fm/+AANfZj8LS4w

ICML 2025 Call For Tutorials

icml.cc/Conferences/...

Gott sei Dank! :P

very cool observations about using smiles/graphs vs fingerprints. TDLR; fingerprints only capture certain properties marginally, and their combinations can often give rise to something new/different.
www.deepmedchem.com/articles/wha...

go.bsky.app/HN2MTzp

🌟 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...

If you're interested in {causality, language, healthcare}, stop by!
Thursday 11am - 2pm
West Ballroom A-D #5110

🤫😎

Me neither. 😅

The #mip2025 computational competition is open! This year’s topic is finding feasible solutions for MIPs with quadratic functions. Student participation is encouraged and we may separately award outstanding student submissions. For more details, visit www.mixedinteger.org/2025/competi... #orms

1/6 We're excited to share our #NeurIPS2024 paper: Probabilistic Graph Rewiring via Virtual Nodes! It addresses key challenges in GNNs, such as over-squashing and under-reaching, while reducing reliance on heuristic rewiring. w/ Chendi Qian, @christophermorris.bsky.social @mniepert.bsky.social 🧵

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

Second day of @logconference.bsky.social meetup in Aachen is well underway with a keynote by Rebekka Burkholz 🙌

We’re closing out the @logconference.bsky.social meetup in Aachen with a panel on the relationship between graph learning and computer vision with fantastic panelists 🥳