Security graphs are becoming indispensable for understanding system access and network activity and empowering security teams ...

Graph databases work best when the data you’re working with is highly connected and should be represented by how it links or refers to other data, typically by way of many-to-many relationships ...

This adjacency matrix represents which nodes in your graph are connected by edges and which are not. You can then use this matrix to compute a sequence of numbers, called eigenvalues, that provide ...

The appetite for connected data is fueling a shift from traditional relational databases to interconnected graph-based models. Newsletters Games Share a News Tip.

The updated graph database-as-a-service (DBaaS) will come with visual analytics and machine learning tools, made accessible via the TigerGraph Suite.

Example of a content knowledge graph that shows how a blog post is connected to other entities through the Schema.org properties (Image from author, November 2024) ...

In the realm of finite simple groups—those nontrivial groups with no proper normal subgroups—Cayley graphs serve as a fertile ground for exploring symmetry, automorphism properties and ...

The goal is to figure out how to color the nodes of some network (or graph, as mathematicians call them) so that no two connected nodes share the same color. Depending on the context, such a coloring ...

A new generation of graph databases has taken hold, and a generation of query languages has arrived alongside them. The assorted graph database query languages include the likes of Gremlin, Cypher ...

Their reasoning is simple. Suppose that neither 1 nor 2 appears in the initial entries. Then in any solution, all the 1’s could be switched with all the 2’s, so there would be at least two ...