Apply if you are working on Geometric Deep Learning! LOGML is an amazing summer school. Attended twice as a student — got exposed to many new ideas and had the chance to connect with outstanding researchers. This year I will be joining as a mentor — hope to see you in London ☺️

GLOW is returning on 𝗠𝗮𝗿𝗰𝗵 𝟮𝟲𝘁𝗵, 𝟱𝗽𝗺 𝗖𝗘𝗧 with a special guest: Petar Veličković 🌟 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👓

Many of you asked if I could make the 'LLMs as GNNs' lecture more broadly available. 💬🕸️ I'm delighted to share that next Wednesday (26 March) is your chance to tune in, via the GLOW seminar! 🌟 Details in Fabrizio's post:

If you're into LLMs, graphs, or just enjoy great talks, Petar Veličković's lecture from our last GLOW session—"LLMs as GNNs"—is now online: youtube.com/watch?v=J1YCdV…

Got a new blog post up about how researchers at Google have advanced the field of graph learning!

Come join us tomorrow for this amazing workshop!!!

It’s a wrap #ICLR2025 Btw if you’re interested into post-processing rain forecasts via GNNs: github.com/SohirMaskey/ra…

GLOW is coming back this Wednesday! 🌟 We will hear from – and interact with – Christian Koke (incorporating scale in GNNs) and Yonatan Sverdlov (sparse geometric MPNNs and their expressive power). 🗓️When May 28th, 5pm CEST on Zoom. 🌐 Details & sign-up: sites.google.com/view/graph-lea….

Check out this blogpost from Fabrizio Frasca @ ICML 2025 (Vancouver) and the GLOW reading group on the future of graph learning! I’ve also contributed and my main take is - its actually working and its an exciting moment to work on applications!

Check out our new LLMs, pretrained from scratch on HF. The tokenizer-free architecture makes them pretty robust across many languages. Outperforming Llama-3.1 on German!

🌏✨ Apply Now: Annual Nepal AI School (ANAIS) 2025 ✨🌏 📅 29 Dec – 8 Jan 📍 Kathmandu, Nepal 🗓️ Deadline: Oct 16, 2025 11 days of AI learning, research & networking with speakers from Oxford, Stanford, IITs, NUS & more + hackathons & a hike 👉 Apply: anais.naamii.org.np/applications

Overwhelmed by the number of Diffusion LLM papers? 🌊 Same here 😭 So I’m starting a Discrete Diffusion Reading Group (Discrete Diffusion Reading Group) with my favorite disciples Justin Deschenaux and Zhihan Yang ✨ We’ll cover everything—from theory to empirics, from language to molecules. Join