The Computational Complexity of Factored Graphs

Abstract

Computational complexity is traditionally measured with respect to input size. For graphs, this is typically the number of vertices (or edges) of the graph. However, for large graphs even explicitly representing the graph could be prohibitively expensive. Instead, graphs with enough structure could admit more succinct representations. A number of previous works have considered various succinct representations of graphs, such as small circuits [Galperin, Wigderson '83]. We initiate the study of the computational complexity of problems on factored graphs: graphs that are given as a formula of products and union on smaller graphs. For any graph problem, we define a parameterized version by the number of operations used to construct the graph. For different graph problems, we show that the corresponding parameterized problems have a wide range of complexities that are also quite different from most parameterized problems. We give a natural example of a parameterized problem that is unconditionally not fixed parameter tractable (FPT). On the other hand, we show that subgraph counting is FPT. Finally, we show that reachability for factored graphs is FPT if and only if $\mathbf{NL}$ is in some fixed polynomial time.