Top Trends of Graph Machine Learning in 2020

The year 2020 has just started but we can already see the trends of Graph Machine Learning (GML) in the latest research papers. Below is my view on what will be important in 2020 for GML and the discussion of these papers. The goal of this article is not on introducing the basic concepts of GML such as graph neural networks (GNNs), but on exposing cutting-edge research that we can see in the top scientific conferences. For the start, I took the submissions to ICLR 2020, one of the most prestigious conferences to submit your work in GML. There are 150 submissions in GML and every third paper is accepted.