Graph ML News (June 3rd)

Molecular ML conference (MoML) took place in Montreal on Monday and hosted invited talks from Marinka Zitnik, Mohammed AlQuraishi, Gábor Csányi, and other top researchers in the field. The recordings are now online on YouTube.

Accepted papers at ICML 2023 are now visible on the conference website (available after registration) - several editors of this channel are going to ICML this year and it is likely we will prepare an overview of the most interesting graph papers!

Weekend reading:

Geometric Latent Diffusion Models for 3D Molecule Generation (ICML’23) feat. Minkai Xu, Stefano Ermon, and Jure Leskovec

Protein Design with Guided Discrete Diffusion feat. Kyunghyun Cho and Andrew Wilson

Graph Inductive Biases in Transformers without Message Passing (ICML’23) feat. Derek Lim

Unsupervised Embedding Quality Evaluation feat. Anton Tsitsulin

Smooth, exact rotational symmetrization for deep learning on point clouds