Post #649

Graph ML in 2022 The editors of the Graph ML channel proudly present the winter longread (in collaboration with Anton Tsitsulin and Anvar Kurmukov) including major research trends in 2021: - Graph Transformers - Equivariant GNNs - Generative Models for Molecules - GNNs and Combinatorial Optimization - Subgraph GNNs - Scalable and Deep GNNs - Knowledge Graph Representation Learning - Generally Cool Research with GNNs Besides that, the post describes new datasets and challenges, new courses and books, as well as new / updated open source libraries for graph representation learning.