Understanding the differences and similarities between complex datasets is an interesting challenge that often arises when working with data. One way to formalize this question is to view each dataset as agraph, a mathematical model for how items relate to each other. Graphs are widely used to model relationships between objects — theInternet graphconnects pages referencing each other, social graphslink together friends, and molecule graphs connect atoms bonding with each other.
链接地址：https://ai.googleblog.com/2020/05/understanding-shape-of-large-scale-data.html