Positional_as_Structural
**Some Foundations of Graph Embeddings**
Tutorial on Positional and Structural Graph Representations
invariances.org/graph-repres...
Given at the NSF-Simons National Institute for Theory and Mathematics in Biology.
01.05.2025 15:18 — 👍 2 🔁 0 💬 0 📌 0
Congrats! Well-deserved
07.02.2025 22:07 — 👍 1 🔁 0 💬 1 📌 0
Slides of my presentation "Mathematical Foundations of Graph Foundation Models" yesterday at the AMS Session of the #JMM2025. The accompanying paper is coming soon.
www.cs.purdue.edu/homes/ribeir...
09.01.2025 22:38 — 👍 5 🔁 2 💬 0 📌 0
<p>Mathematical Foundations of Knowledge Graph Foundation Models</p>
One potential definition of a knowledge graph foundation model is one where a g...
I'm told this is a more intellectual version of ML Twitter :). I have a question...
What papers have made good *theoretical* advances towards graph foundation models?
Jan 8th 1-2pm I am giving a talk at the Joint Mathematics Meeting on the topic
meetings.ams.org/math/jmm2025...
11.12.2024 14:10 — 👍 2 🔁 1 💬 0 📌 0
postdoc @ oxford robotics institute. interested in reinforcement learning, graphs, robots, and combinatorial optimization.
https://victor.darvariu.me
Assistant Professor @ École Polytechnique, IP Paris |
Interested in GNNs and Graph Representation Learning |
Website: johanneslutzeyer.com
Machine Learning, {Org, Med, Comp} Chem, RL/Planning, AI-assisted Scientific Discovery & Creativity, Music. ELLIS Scholar. Team Lead at Microsoft Research AI for Science. 2xDad
Assistant Professor at the University of Toronto
⚒️ 🏥 Deep learning and causal inference for computational medicine
Senior Research Scientist at NEC. PhD in CS @ UniPi, Bayesian Deep Learning for Graphs. Trying to do Science 🔍, not SotA 🥇.
International Conference on Learning Representations https://iclr.cc/
San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity. https://glouppe.github.io
🎓 CS Prof at UCLA
🧠 Researching reasoning and learning in artificial intelligence: tactable deep generative models, probabilistic circuits, probabilistic programming, neurosymbolic AI
https://web.cs.ucla.edu/~guyvdb/
Asst. Prof. in Machine Learning at UofT. #LongCOVID patient.
https://www.cs.toronto.edu/~cmaddis/
Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
Associate Professor of Machine Learning, University of Oxford;
OATML Group Leader;
Director of Research at the UK government's AI Safety Institute (formerly UK Taskforce on Frontier AI)
Dad · Geometry ∩ Topology ∩ Machine Learning
Professor at University of Fribourg 🇨🇭
🏠 https://bastian.rieck.me/
🏫 https://aidos.group
☕️ https://ko-fi.com/pseudomanifold
Professor of Machine Learning and Inference, Edinburgh Informatics, Formerly Amazon Scholar. Opinions are my own. Also https://homepages.inf.ed.ac.uk/imurray2/ and https://mastodon.social/@imurray and https://x.com/driainmurray
Professor @ University of Stuttgart, Scientific Advisor @ NEC Labs, GraphML, geometric deep learning, ML for Science and Simulations. Formerly @IUBloomington and @uwcse
Researcher in ML/NLP at the University of Edinburgh (faculty at Informatics and EdinburghNLP), Co-Founder/CTO at www.miniml.ai, ELLIS (@ELLIS.eu) Scholar, Generative AI Lab (GAIL, https://gail.ed.ac.uk/) Fellow -- www.neuralnoise.com, he/they
We accelerate research in the sciences and humanities with machine learning; part of the @ml4science.bsky.social cluster at @unituebingen.bsky.social
Web: mlcolab.org
Member profiles: @sethaxen.com @vstaros.bsky.social
DeepMind Professor of AI @Oxford
Scientific Director @Aithyra
Chief Scientist @VantAI
ML Lead @ProjectCETI
geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶
