
Rado
@dimitrov_radko

📣Two new blog posts - a comprehensive review of Graph and Geometric ML in 2023 with predictions for 2024. Together with Michael Bronstein, we asked 30 academic and industrial experts about the most important things happened in their areas and open challenges to be solved. 🧵 1/n



Aravind Srinivas Get error bars on the ARC-AGI result

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







