Facebook continues to pull back the curtain on some of the technical details behind its search products, this time with a new look at the Social Graph. The social network's latest reveal is about ...

Graphs -- data structures that show the relationship among objects -- are highly versatile. It's easy to imagine a graph depicting a social media network's web of connections.

Similarly, Google has released TensorFlow Graph Neural Networks, a library designed to make it easier to work with graph-structured data in its TensorFlow machine learning (ML) framework.

The graph below shows the total number of publications each year in Community Search in Graphs and Social Networks. References [1] Attribute-sensitive community search over attributed ...

Facebook's Social Graph -- the database underlying its Graph Search engine unveiled yesterday-- is just one of many graph databases being employed for complex, connected data. Neo4j is another ...

Soren Lassen, manager of the search infrastructure team at Facebook, described that "in computer science speak," the Social Graph is a graph data structure involving an "immense map" of people ...

One of the biggest misunderstandings about the social graph is that it's not actually a graph at all. Definitely not the kind of graph you see in math class. It's actually a data structure.

The concept of blockchain as a standalone technology started gaining popularity in 2015. Prior to that, it was just known as a data structure underlying Bitcoin technology. In Satoshi Nakamoto’s ...