GraphML News (July 7th) - ICML Workshops, AI4Science Lectures, GraphRAG release

📚 ICML workshops started publishing their accepted papers on OpenReview. Remember that workshop papers send a good signal of future full papers at next big conferences so you might find something interesting! Among others, check out:

- GRaM workshop (Geometry-grounded Representation Learning and Generative Modeling),
- AI4Science,
- TF2M (Theoretical Foundations of Foundation Models)
- SPIGM (Structured Probabilistic Inference & Generative Modeling)

📺 Simons Institute at Berkeley recently organized a workshop AI≡Science: Strengthening the Bond Between the Sciences and Artificial Intelligence with a stellar lineup including Tess Smidt, Mohammed AlQuraishi, Rafael Gomez-Bombarelli, and many others. All lectures recordings are now available.

🚒 Microsoft Research released GraphRAG, their take on graph-enriched RAG, on GitHub along with the accompanying blogpost. The repo received 6k stars just in 5 days 📈.

Weekend reading:

Foundations and Frontiers of Graph Learning Theory by Yu Huang et al. feat Muhan Zhang - a survey on the GNN theory, can accompany the recent ICML position paper by Morris et al.

Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization by Siyi Gu, Minkai Xu et al feat. Jure Leskovec - perhaps the first diffusion model for ligand generation (conditioned on the pocket) with the DPO alignment (RLHF without H).