Engineering motif search for large graphs
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Details
| Original language | English |
|---|---|
| Title of host publication | 2015 Proceedings of the Seventeenth Workshop on Algorithm Engineering and Experiments (ALENEX) |
| Pages | 104-118 |
| Number of pages | 15 |
| ISBN (Electronic) | 978-1-61197-375-4 |
| DOIs | |
| Publication status | Published - 2015 |
| Publication type | A4 Article in a conference publication |
| Event | Workshop on Algorithm Engineering and Experiments - Duration: 1 Jan 1900 → … |
Publication series
| Name | Workshop on Algorithm Engineering and Experiments |
|---|---|
| ISSN (Print) | 2164-0300 |
Conference
| Conference | Workshop on Algorithm Engineering and Experiments |
|---|---|
| Abbreviated title | ALENEX |
| Period | 1/01/00 → … |
Abstract
In the graph motif problem, we are given as input a vertexcolored graph H (the host graph) and a multiset of colors M (the motif). Our task is to decide whether H has a connected set of vertices whose multiset of colors agrees with M. The graph motif problem is NP-complete but known to admit parameterized algorithms that run in linear time in the size of H. We demonstrate that algorithms based on constrained multilinear sieving are viable in practice, scaling to graphs with hundreds of millions of edges as long as M remains small. Furthermore, our implementation is topologyinvariant relative to the host graph H, meaning only the most crude graph parameters (number of edges and number of vertices) suffice in practice to determine the algorithm performance.