Post #226

Trends in GML I think GRL+ workshop is really cool: it gathers people in GML and discusses ideas that are not fully developed but will be soon. It's like peeking into the crystal ball. Petar Veličković, one of the organizers of this workshop, outlined the following trends: - Emerging work on performance / scalability (e.g. SIGN, Weisfeiler & Leman go sparse) - KG embeddings are as strong as ever (e.g. neural multi-hop reasoning, MPQE, Stay Positive, UniKER) - proposal of many datasets/benchmarks/libraries (Wiki-CS, TUDataset, Spektral, Graphein, Geo2DR, Geoopt) - work on computational chemistry (with applications to drug design/repurposing), such as the Retrosynthesis paper (which won best paper award) - Applications of GRL for algorithmic reasoning (e.g. Neural Bipartite Matching, planning with neuro-algorithmic policies. and PGNs) But the obvious standout, not only in the papers but also in most of our invited talks, is the explicit consideration of structure.