Friday Graph ML News: Blogs, ICLR Acceptances, and Software Releases

No big protein / molecule diffusion model announcement this week 🤨

Still, a handful of nice blogposts!

Graph Machine Learning Explainability with PyG by Blaž Stojanovič and PyG Team is a massive tutorial on GNN explainability tools in PyG with datasets, code examples, and metrics. Must read for all explainability studies.

Unleashing ML Innovation at Spotify with Ray talks about Ray and an application of running A/B tests of the GNN-based recommender system for the main page of Spotify.

🤓 ICLR accepted papers are now available with distinction of top-5%, top-25%, and posters. Stay tuned for the review of ICLR graph papers! Meanwhile, have a look at some hot new papers put on arxiv:

- WL Meets VC by Christopher Morris, Floris Geerts, Jan Tönshoff, Martin Grohe - the first work to connect WL test with VC dimension of GNNs with provable bounds!
- Curvature Filtrations for Graph Generative Model Evaluation by Joshua Southern, Jeremy Wayland, Michael Bronstein, Bastian Rieck - a novel look on graph generation evaluation using the concepts of topological data analysis

🛠️ New software releases this week!

- DGL v1.0 - finally, the major 1.0 release featuring a new sparse backend
- PyKEEN v1.10 - still the best library to work with KG embeddings