TGViewer
Graph Machine Learning Graph Machine Learning @graphml · 6.59K subscribers
Post #785 5.22K
Graph ML News (July 30th) - ICML and Open Catalyst Demo

The ICML week has finally passed with yesterdays’ workshops. Meeting the graph learning community was a blast and I am looking forward seeing you guys and gals at NeurIPS or already in Vienna at the next ICLR and ICML. The review post of most interesting graph papers at ICML is on the way 😉

Meanwhile, Meta AI and CMU released the Open Catalyst Demo - a website where you can play around with relaxations (DFT approximations) of 11.5k catalyst materials on 86 adsorbates in 100 different configurations each (making it up to 100M combinations). The demo is powered by SOTA geometric models GemNet-OC and Equiformer-V2. Hopefully the demo will grow up to something as large and popular as AlphaFold DB (but for materials)!

The GAIN community in Germany hosts the Workshop on Explainability and Applicability of Graph Neural Networks to be held in Kassel on September 6-8th. The workshop will feature invited talks by Christopher Morris, Soledad Villar, Petar Veličković, and Emanuele Rossi.
Metademolab Open Catalyst demo Accelerating catalyst discovery with AI
More from @graphml
  1. Mar 18, 2026🚀 LOGML 2026 — Mentor Applications Open (Deadline extended!) The LOGML (London Geometry a…
  2. Feb 28, 2026PhD Position in Graph Learning at the University of Vienna, Austria A PhD student position…
  3. Feb 16, 2026Uni Leipzig looking for a motivated student for a PhD position in Graph Machine Learning a…
  4. Oct 2, 2025Tired of evaluating your graph ML models on Cora, CiteSeer, and PubMed? We have a better b…
  5. Oct 2, 2025How can we create general-purpose graph foundation models? (by Dmitry Eremeev) For a long…
  6. Sep 21, 2025GraphML News (September 2025) - Stanford Graph Learning WS, MoML, RF Diffusion 3 While the…
Threads Profile ViewerView any public Threads profile without an account.Open ThreadLook →Writing with AI? Make it sound human.Metric37 rewrites AI drafts so they read naturally. Free AI detector, 1,500 words free.Try Metric37 →