Graph-based data science, machine learning and AI. The Year of the Graph Newsletter Vol. 23, Spring 2021

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 […]

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Graph Therapy. The Year of the Graph Newsletter Vol. 20, June / May 2020

Parts of the world are still in lockdown, while others are returning to some semblance of normalcy. Either way, while the last few months have given some things pause, they have boosted others. It seems like developments in the world of Graph are among those that have been boosted. An abundance of educational material on […]

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Graphs in the 2020s: Databases, Platforms, and the evolution of Knowledge. The Year of the Graph Newsletter Vol. 18, February / January 2020

Graphs, and knowledge graphs, are key concepts and technologies for the 2020s. What will they look like, and what will they enable going forward? We have been keeping track of the evolution of graphs since the early 2000s, and publishing the Year of the Graph newsletter since 2018. Graphs have numerous applications that span analytics, […]

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