🔥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

dfg.de/en/news/news-t…

🚨 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/1FAI… 🏠LoG website: logconference.org

The ICML 2025 workshops list is online! Many exciting topics. Check them out icml.cc/virtual/2025/e…

✈️ I'll be at ICLR in Singapore and present two papers (happened to be at the same Thu 24th afternoon poster session, some quantum entanglement will be required 👀). Paper links in 🧵

2. SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models openreview.net/forum?id=xnssG… With Daniel Levy, Siba Smarak Panigrahi, Oumar Kaba, Santiago Miret, and Siamak Ravanbakhsh

We should host more top ML conferences (ICLR, ICML, NeurIPS) in Asia

If you are at ICLR and interested in ways to make denoising diffusion more efficient, please come to Vinh’s oral talk tomorrow at 11:30 in oral session 1C. It also involves backprop through ODE solvers and constrained learning.

If you're at #ICLR come check out our poster on symmetric crystal generation! We're at poster #07.

Happy to have presented this work with Hannah Lawrence @ PetExpo Vasco Portilheiro and Yan! Thanks to those who came! Check out the paper to learn about the link between symmetry breaking, equivariant distributions and positional encodings (+experiments on Ising models) arxiv.org/abs/2503.21985

ICLR will be in Brazil next year!

📣 Our spicy ICML 2025 position paper: “Graph Learning Will Lose Relevance Due To Poor Benchmarks”. Graph learning is less trendy in the ML world than it was in 2020-2022. We believe the problem is in poor benchmarks that hold the field back - and suggest ways to fix it! 🧵1/10

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

Paper body: 9 pages References: 3 pages Checklist: 6.5 pages When did the checklist get so long? Soon it's going to be longer than the body of the paper...

Interested in the cutting edge of graph theory and topology for GDL? Join us this Wednesday at 17:00 IDT (16:00 CET) for our seminar with Haggai Maron's lab in Technion to learn how we can push the limits of expressivity in graph and topological deep learning!

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….

So why is the ICML Conference camera-ready submission so painful (you have to sign a form, use a paper checker, ...) while NeurIPS Conference and ICLR 2026 make it so easy?