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Papers in the last ~24h on biorxiv, medrxiv, chemrxiv and pubmed about ML for bio: docs.google.com/spreadsheets/d…

MonChhiChi a.k.a. Momo is a 7-year-old fluffy cloud and the unofficial mascot of MIT Jameel Clinic for AI & Health! She can usually be seen on MIT's campus with her more timid Samoyed sister Yumi and their human mom, Rachel Wu. Momo loves attention and belly rubs. She possesses a remarkable gift for

Papers in the last ~24h on biorxiv, medrxiv, chemrxiv and pubmed about ML for bio: docs.google.com/spreadsheets/d…

Papers in the last ~24h on biorxiv, medrxiv, chemrxiv and pubmed about ML for bio: docs.google.com/spreadsheets/d…

My seminar on ML in Structure-Based Drug Discovery at the MoML Summer School is now on YouTube youtube.com/watch?v=0EmYfN… Giving this class had a particular significance for me as MoML is dedicated to the memory of Octavian Ganea an amazing friend who introduced me to this topic 🙏

Papers in the last ~24h on biorxiv, medrxiv, chemrxiv and pubmed about ML for bio: docs.google.com/spreadsheets/d…

Damn, seems we missed the ICLR 2025 2025 submission deadline, which was in 2023 🙃

Papers in the last ~24h on biorxiv, medrxiv, chemrxiv and pubmed about ML for bio: docs.google.com/spreadsheets/d…

Less than a day to go to submit abstracts to Learning on Graphs Conference 2024 2024 -- send your work to LoG and we'll ensure you get expert reviewers who work in the same sub-field :) logconference.org/cfp/

⏰The clock is ticking! Only 2⃣0⃣ hours left to submit your abstract to the Learning on Graphs Conference 2024 ! logconference.org/cfp/

Papers in the last ~24h on biorxiv, medrxiv, chemrxiv and pubmed about ML for bio: docs.google.com/spreadsheets/d…

We have open-sourced the code and sample data, which will be continuously updated, through our GitHub project: github.com/fudan-generati…

Papers in the last ~24h on biorxiv, medrxiv, chemrxiv and pubmed about ML for bio: docs.google.com/spreadsheets/d…

Next Monday in the reading group, we chat with the author of "Geometric deep learning framework for de novo genome assembly" biorxiv.org/content/10.110… Join us at 9am PT / 12pm ET / 6pm CEST just hop on the zoom link here: portal.valencelabs.com/logg

I am happy to announce that Aleksandar Bojchevski, Michael Schaub, Martin Grohe, and I are organizing a Learning on Graphs Conference 2024 local meet-up in Aachen (27.11.-28.11.), including keynotes from Stephan Günnemann and Rebekka Burkholz. See log-rwth.github.io/log-meetup-202… for more information.

We’re excited to introduce @ChaiDiscovery and release Chai-1, a foundation model for molecular structure prediction that performs at the state-of-the-art across a variety of drug discovery tasks We're releasing inference code, weights & a web interface: chaidiscovery.com/blog/introduct…

Another group has more or less reproduced AF3, but has built in a way to add spatial constraints for PPI prediction. These constraints lead to huge increases in fraction of models that are correct-ish, without changing fraction that is high-accuracy chaiassets.com/chai-1/paper/t…

In collaboration with Transactions on Machine Learning Research, we're excited to announce the new Journal Track for LoG 2024. Super simple submission process for your awesome TMLR graph ML and geometric DL papers, due by 26 October 2024. All details 👇 logconference.org/cfp/#tmlr-jour…

I know there are many folks in the graph ML community who chose TMLR b/c it provided a proper review experience without stress - Here's a fantastic chance to submit your TMLR papers to LoG and hopefully share your work more widely! 💙

Joshua Meier Chai Discovery And v. v. interested to hear about your insights into actually building the beast, if there's a plan to release more. This is super interesting: