The graph enumeration problem of counting directed acyclic graphs was studied by . This included misleading graphs and exaggerated statistics. Also included were data in the form of charts, graphs, and maps. TensorFlow computations are expressed as stateful dataflow graphs. This problem has various algorithms for different classes of graphs. These were also some of the first mathematical graphs. The following figure shows examples of minimum vertex covers in the previous graphs. These definitions coincide for connected graphs. Individuals are able to see maps, graphs, and tables of reported crime. Factor graphs and Tanner graphs are examples of this. This adjustment allows comparisons between nodes of graphs of different sizes. Dryad can represent arbitrary Directed Acyclic Graphs (DAGs) of computation. All rank 3 hyperbolic graphs are compact. This is analogous to the chromatic polynomial of unsigned graphs. They also present a faster algorithm that takes formula 77 rounds in undirected graphs.