Post #884

​​GraphML News (Jan 26th) - Graph learning overtakes ⚽, GPT-4b ⚽TacticAI, the system for analyzing football games using MPNNs and geometric learning developed by Google DeepMind for Liverpool FC (one of the coolest applications highlighted in the post about 2023 graph learning advancements), is making rounds in the UK sports industry: now Arsenal FC is looking for Research Engineers to work on “spatiotemporal transformer with built-in geometric equivariances”. This hints about the success of the original TacticAI (as well as about the small world of English Premier League), and makes us wonder: - Would graph learning get a surprising vanity boost from a rather unexpected place? Transfers of best GraphML researchers from one club to another along with the head coach team, eg, Christopher Morris to Borussia Dortmund or Stephan Günnemann to Bayern Munich? - Would 💰 from sheikhs and rich owners of football clubs investing into GPUs result in more expected scaling laws (instead of ridiculously inflated players’ contracts)? - When will Mikel Arteta (head coach of Arsenal) tell English newspapers “Equivariance rules!” like Geoff Hinton? We will keep you posted about those important matters. Meanwhile, post your fantasy teams of graph researchers and FCs in the comments. 🧬 OpenAI reportedly finished training of GPT-4b, the protein LLM, together with Retro Biosciences (where Sam Altman conveniently invested $180M) that focuses on longevity studies. GPT-4b aims at re-engineering a specific set of proteins, Yamanaka factors, that can turn human skin cells into young stem cells. We don’t know more details, the model is likely to stay closed - one could hypothesize it might look like the ESM family of protein models with the knowledge of protein function and trained on a massive dataset of proprietary data (the key to a successful biotech startup in 2025). 🎙️ The Graph Signal Processing Workshop 2025 will take place on May 14-16 at Mila in Montreal supported by Centre de recherches mathématiques (CRM) and Valence Labs. The workshop invites theoretical works in signal processing on graphs and will showcase examples of applications in gene expression patterns defined on top of gene networks, the spread of epidemics over a social network, the congestion level at the nodes of a telecommunication network, and patterns of brain activity defined on top of a brain network. Submission deadline is Feb 1st. Weekend reading: ICLR 2025 announced accepted papers but the full list is not yet available. Moreover, expect a flurry of the announcements next week after the ICML submission deadline.