What does graph have to do with machine learning, and data science? A lot, actually, and it goes both ways.

Over the last few years, we have seen what was once a niche research topic – graph-based machine learning – snowball. The Year of the Graph was among the first to take stock, point towards this development, and recognize graph-based AI as a key pillar for future development in the field.

In this edition of the YotG Newsletter, we highlight resources focused on graph-based machine learning and data science. Which is not to say there’s lack of news on graph analytics, graph databases, and knowledge graphs – on the contrary.

Read the full article on the Year of the Graph