Affiliation:
1. University of California, Santa Cruz, CA
2. School of Mathematics, Tel Aviv University, Tel Aviv, Israel
Abstract
We consider the problem of counting the number of copies of a fixed graph
H
within an input graph
G
. This is one of the most well-studied algorithmic graph problems, with many theoretical and practical applications. We focus on solving this problem when the input
G
has
bounded degeneracy
. This is a rich family of graphs, containing all graphs without a fixed minor (e.g., planar graphs), as well as graphs generated by various random processes (e.g., preferential attachment graphs). We say that
H
is
easy
if there is a linear-time algorithm for counting the number of copies of
H
in an input
G
of bounded degeneracy. A seminal result of Chiba and Nishizeki from ’85 states that every
H
on at most 4 vertices is easy. Bera, Pashanasangi, and Seshadhri recently extended this to all
H
on 5 vertices and further proved that for every
\( k \gt 5 \)
there is a
k
-vertex
H
which is not easy. They left open the natural problem of characterizing all easy graphs
H
.
Bressan has recently introduced a framework for counting subgraphs in degenerate graphs, from which one can extract a sufficient condition for a graph
H
to be easy. Here, we show that this sufficient condition is also necessary, thus fully answering the Bera–Pashanasangi–Seshadhri problem. We further resolve two closely related problems; namely characterizing the graphs that are easy with respect to counting induced copies, and with respect to counting homomorphisms.
Publisher
Association for Computing Machinery (ACM)
Subject
Artificial Intelligence,Hardware and Architecture,Information Systems,Control and Systems Engineering,Software
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