Christopher Morris
@chrsmrrs.bsky.social
@RWTH. Previously, @Mila_Quebec, @mcgillu, @polymtl, and @TU_Dortmund. Working on learning with graphs and ML for combinatorial optimization.
We are organizing the CoLearn workshop in Aachen (colearn.rwth-aachen.de), fostering exchange between combinatorial optimization and machine learning, with a fantastic keynote speaker lineup, including A. Lodi, N. Megow, M. Skutella, G. Schäfer, Y. Zhang, and J. Toenshoff.
Combinatorial Optimization and Learning
colearn.rwth-aachen.de
October 11, 2025 at 1:40 PM
We are organizing the CoLearn workshop in Aachen (colearn.rwth-aachen.de), fostering exchange between combinatorial optimization and machine learning, with a fantastic keynote speaker lineup, including A. Lodi, N. Megow, M. Skutella, G. Schäfer, Y. Zhang, and J. Toenshoff.
This will be great newgraphperspectives.com.
New Perspectives in Advancing Graph Machine Learning
NeurIPS 2025 Workshop
newgraphperspectives.com
July 24, 2025 at 8:35 AM
This will be great newgraphperspectives.com.
If you are in the Bay Area, consider attending our workshop, "Graph Learning Meets TCS," at the Simons Institute (simons.berkeley.edu/workshops/gr...).
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...
simons.berkeley.edu
July 23, 2025 at 4:20 PM
If you are in the Bay Area, consider attending our workshop, "Graph Learning Meets TCS," at the Simons Institute (simons.berkeley.edu/workshops/gr...).
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.
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...
www.arxiv.org
May 5, 2025 at 12:28 PM
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.
Reposted by Christopher Morris
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...
blog.neurips.cc/2025/05/02/r...
Responsible Reviewing Initiative for NeurIPS 2025 – NeurIPS Blog
Communications Chairs 2025 2021 Conference
blog.neurips.cc
May 2, 2025 at 10:45 PM
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...
blog.neurips.cc/2025/05/02/r...
Reposted by Christopher Morris
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...
www.oeaw.ac.at/aithyra/news...
April 29, 2025 at 7:21 AM
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...
www.oeaw.ac.at/aithyra/news...
Reposted by Christopher Morris
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...
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...
March 9, 2025 at 7:14 PM
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...
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...
Reposted by Christopher Morris
🚨 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
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
LinkedIn
This link will take you to a page that’s not on LinkedIn
lnkd.in
April 2, 2025 at 9:27 AM
🚨 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
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
Reposted by Christopher Morris
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
arxiv.org/abs/2502.14546
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...
arxiv.org
March 24, 2025 at 5:21 PM
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
arxiv.org/abs/2502.14546
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.
March 21, 2025 at 11:11 AM
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.
Joint work with Antonis Vasileiou, Stefanie Jegelka, and Ron Levie.
March 21, 2025 at 8:05 AM
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.
Joint work with Antonis Vasileiou, Stefanie Jegelka, and Ron Levie.
Reposted by Christopher Morris
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...
www.oeaw.ac.at/aithyra/news...
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...
www.oeaw.ac.at
March 17, 2025 at 8:07 PM
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...
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. 💪
edge transformer arxiv.org/abs/2401.10119 achieves SOTA performance on molecular dynamics.
Weisfeiler and Leman strike again. 💪
arxiv.org
March 4, 2025 at 10:26 AM
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. 💪
edge transformer arxiv.org/abs/2401.10119 achieves SOTA performance on molecular dynamics.
Weisfeiler and Leman strike again. 💪
Reposted by Christopher Morris
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
Job ID: www.jobs.tu-berlin.de/en/job-posti...
#jobvacancy #jobalert #postdocposition #postdocfellowship
#ScienceJobs #AI #research #Berlin @tuberlin.bsky.social
January 6, 2025 at 1:47 PM
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
Job ID: www.jobs.tu-berlin.de/en/job-posti...
#jobvacancy #jobalert #postdocposition #postdocfellowship
#ScienceJobs #AI #research #Berlin @tuberlin.bsky.social
Reposted by Christopher Morris
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
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...
overcast.fm
February 1, 2025 at 4:05 PM
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
Reposted by Christopher Morris
Reposted by Christopher Morris
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...
www.deepmedchem.com/articles/wha...
What Can Neural Network Embeddings Do That Fingerprints Can’t?
www.deepmedchem.com
December 22, 2024 at 12:23 AM
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...
www.deepmedchem.com/articles/wha...
Reposted by Christopher Morris
December 20, 2024 at 12:51 PM
Reposted by Christopher Morris
🌟 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...
🗓️ Dec 18th @ 17 CET on Zoom, don't miss that!
🌐 Find more here: sites.google.com/view/graph-l...
December 3, 2024 at 4:32 PM
🌟 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...
🗓️ Dec 18th @ 17 CET on Zoom, don't miss that!
🌐 Find more here: sites.google.com/view/graph-l...
Reposted by Christopher Morris
If you're interested in {causality, language, healthcare}, stop by!
Thursday 11am - 2pm
West Ballroom A-D #5110
Thursday 11am - 2pm
West Ballroom A-D #5110
@nikitadhawan.bsky.social developed NATURAL (www.cs.toronto.edu/~nikita/natu...) with @cottascience.bsky.social , Karen & @cmaddis.bsky.social. Its an end-to-end pipeline that starts from raw-text data and ends with a causal (**) effect associated with an intervention.
(**) conditions apply
🧵(6/7)
(**) conditions apply
🧵(6/7)
NATURAL
www.cs.toronto.edu
December 11, 2024 at 4:57 PM
If you're interested in {causality, language, healthcare}, stop by!
Thursday 11am - 2pm
West Ballroom A-D #5110
Thursday 11am - 2pm
West Ballroom A-D #5110
Reposted by Christopher Morris
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
December 7, 2024 at 8:09 PM
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
Reposted by Christopher Morris
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 🧵
December 7, 2024 at 5:50 PM
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 🧵
Reposted by Christopher Morris
Give yourself an early Christmas present: Visit GLOW and learn about two amazing papers and interact with their authors!
🌟 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...
🗓️ Dec 18th @ 17 CET on Zoom, don't miss that!
🌐 Find more here: sites.google.com/view/graph-l...
December 3, 2024 at 6:19 PM
Give yourself an early Christmas present: Visit GLOW and learn about two amazing papers and interact with their authors!
Reposted by Christopher Morris
Second day of @logconference.bsky.social meetup in Aachen is well underway with a keynote by Rebekka Burkholz 🙌
November 28, 2024 at 8:45 AM
Second day of @logconference.bsky.social meetup in Aachen is well underway with a keynote by Rebekka Burkholz 🙌