🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Taking a fresh look at an old challenge: therapeutic lead discovery 💊 Our Portal blog dives into how our causally-inspired GNN model, PDGrapher, changes up the game by predicting therapeutic agents directly from phenotypic data🧬 work with Marinka Zitnik and Michael Bronstein

We are hiring a postdoc at Imperial as a full-fledged affiliate of our new Erlangen Programme for Mathematical & Computational Foundations of AI Hub! Check it out, spread the word, and apply! 🤓👇 imperial.ac.uk/jobs/search-jo…

protein design is getting weird ... and increasingly functional ! These are very weird designs ! biorxiv.org/content/10.110… fun collaboration with Karla Castro Joseph Watson Jue Wang Institute for Protein Design

🎓 And that's a wrap on the LOGML Summer School! 🥰 It was an incredible experience organizing it. A huge thank you to all our speakers for their insightful talks, to our mentors for making it an unforgettable experience for the students, and to all of you for attending! 👏

Exploring “dark-matter” protein folds using deep learning Cell Systems • Introducing Genesis VAE, a convolutional variational autoencoder that transforms low-resolution protein fold sketches into designable, stable 3D models. • Genesis VAE enables rapid exploration of

Great to make the journey out to Denver to present our recent work on genomic-driven ML interventions for #PCOS at #ASRM2024 Josh Southern ChiomaIzzi Waljit Dhillo Ali Abbara Metabolism, Digestion & Reproduction

I am very happy to be selected as a top reviewer for #neurips2024 but still shocked by the lack of resources online on how to write one. Congrats also to old lab friends Giorgos Bouritsas (@[email protected]) Fabrizio Frasca who I also noticed on the list!

A postdoc position is available in my group at Harvard Harvard SEAS to perform research at the intersection of Geometry & Machine Learning. Research interests include Representation Learning, Learning on Graphs & Manifolds, and applications in the Sciences. Details here:

The year is 2100... there is a new SOTA on Zinc of 0.012 and Fast and Furious 40 is in cinemas

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

Join us in NYC as a graduate student intern Prescient Design, Genentech this summer to work on fundamental research in 3D generative models, with applications to protein design! Apply directly, and please share with anyone who may be interested! Link below 👇👇

Might get AGI soon but guarantee it can't throw double 10 like Luke Littler

The use of #AI to increase success of IVF by identifying the right follicle sizes (13-18 mm) to optimize timing of "trigger" shots nature.com/articles/s4146…

Dear Network, Jesse Read and I would like to advertise the attached PhD position (start date: September 2025). We would like to work with you in the intersection of Graph Neural Networks, Reinforcement Learning, and Graph Signal Processing. We look forward to hearing from you!

⭐️LOGML is back and we are looking for mentors!⭐️ Do you work in geometry or machine learning? Apply by February 16th! Mentors lead a group of 6 students to work on a project during the week and some groups end up publishing their work. More information at logml.ai

Amazing week - Understanding Virtual Nodes accepted to ICLR: openreview.net/forum?id=NmcOA… - Hit my first 180 🎯 - Passed my PhD without corrections Thank you to everyone involved!

Really excited: 2/2 our papers got accepted to ICLR 2026! Thanks to all amazing co-authors and hope to see you in Singapore! 🇸🇬 If you're interested in generative models and RL agents for drug design check our papers in the thread 🧵

Knowledge Graph Foundation Models (KGFMs) are at the frontier of graph learning - but we didn’t have a principled understanding of what we can (or can’t) do with them. Now we do! 💡🚀 🧵 with Pablo Barcelo, İsmail İlkan Ceylan, Michael Bronstein, Michael Galkin, Juan Reutter, Miguel

New preprint! 🚨 We scale equilibrium sampling to hexapeptide (in cartesian coordinates!) with Sequential Boltzmann generators!  📈 🤯 Work with Joey Bose, Chen Lin, Leon Klein, Michael Bronstein and Alex Tong Thread 🧵 1/11