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| Content Provider | ACM Digital Library |
|---|---|
| Author | Kowaluk, Mirosław Lingas, Andrzej Lundell, Eva-Marta |
| Abstract | We present a general technique for detecting and counting small subgraphs. It consists in forming special linear combinations of the numbers of occurrences of different induced subgraphs of fixed size in a graph. The combinations can be efficiently computed by rectangular matrix multiplication. Our two main results utilizing the technique are as follows. Let H be a fixed graph with k vertices and an independent set of size s. 1. Detecting if an n-vertex graph contains a (non-necessarily induced) subgraph isomorphic to H can be done in time $O(n^{k™s}$ + $n^{w(⌈(k™s)/2⌉,1,⌊(k™s)/2⌋)}),$ where w(p, q, r) is the exponent of fast arithmetic matrix multiplication of an $n^{p}$ x $n^{q}$ matrix by an $n^{q}$ x $n^{r}$ matrix. 2. When s = 2, counting the number of (non-necessarily induced) subgraphs isomorphic to H can be done in the same time, i.e., in time $O(n^{k-2}$ + $n^{w(⌈(k-2)/2⌉,1,⌊(k-2)/2⌋)}).$ (This improves for s = 2 on a counting algorithm of Vassilevska and Williams, running in time $O(n^{k-s+3}).)$ It follows in particular that we can count the number of subgraphs isomorphic to any H on four vertices that is not $K_{4}$ in time $O(n^{w}),$ where w = w(1, 1, 1) is known to be smaller than 2.376. Similarly, we can count the number of subgraphs isomorphic to any H on five vertices that is not $K_{5}$ in time $O(n^{w(2,1,1)}),$ where w (2, 1, 1) is known to be smaller than 3.334. |
| Starting Page | 1468 |
| Ending Page | 1476 |
| Page Count | 9 |
| File Format | |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2011-01-23 |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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