๐ฎ
๐ฎ
The Ethereal
Counting Subgraphs in Degenerate Graphs
October 12, 2020 ยท The Ethereal ยท ๐ Electron. Colloquium Comput. Complex.
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Suman K. Bera, Lior Gishboliner, Yevgeny Levanzov, C. Seshadhri, Asaf Shapira
arXiv ID
2010.05998
Category
cs.CC: Computational Complexity
Cross-listed
cs.DS,
math.CO
Citations
29
Venue
Electron. Colloquium Comput. Complex.
Last Checked
2 months ago
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 $k > 5$ 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.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ Computational Complexity
๐ฎ
๐ฎ
The Ethereal
An Exponential Separation Between Randomized and Deterministic Complexity in the LOCAL Model
๐ฎ
๐ฎ
The Ethereal
The Parallelism Tradeoff: Limitations of Log-Precision Transformers
๐ฎ
๐ฎ
The Ethereal
The Hardness of Approximation of Euclidean k-means
๐ฎ
๐ฎ
The Ethereal
Slightly Superexponential Parameterized Problems
๐ฎ
๐ฎ
The Ethereal