GraphML News (August 10th) - Summer School recordings, DD merger

🖥️ Recordings from the ML for Drug Discovery Summer School are now available covering 5 days of talks with 28 videos - from basics of GNNs for chemistry and equivariance to protein folding, ML potentials, simulations, protein-protein (-ligand) binding, to generative modeling and causal discovery.

🖥️ The Eastern European ML Summer School’24 also published their recordings - 25 videos covering a more general area of deep learning including LLMs, reasoning, VLMs, RL, generative models, Bayesian DL, and many more. Notebooks from the practical sessions are available on GitHub.

Both schools feature the most up-to-date material from the top experts in the field, quite the gems to watch during the summer break 💎.

⚛️ Continuing with the quality content, Sophia Tang published a massive, 2.5h-read guide to spherical equivariant graph transformers deriving them from the first principles and spherical harmonics to TensorField nets to the SE(3)-Transformer. Lots of illustrations with the code going along. The best tutorial so far.

💸 News from the Geometric Wall Street Journal: a huge merger between Recursion and Exscientia (focusing on precision oncology) - actually, Recursion bought Exscientia for $688M in stocks continuing its acquisition spree (besides the BioHive-2 with 500 H100’s). (Not a stonks advice)

Weekend reading:

The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges by Sitao Luan feat. Rex Ying and Stefanie Jegelka - everything you wanted to know about heterophilic graphs in 2024

When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods by Junhong Lin et al - introduces H2DB, a collection of known and new heterophilic and heterogeneous graphs, much larger than existing datasets.