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EnglishNetwork querying is a growing domain with vast applications ranging from screening compounds against a database of known molecules to matching sub-networks across species. Graph indexing is a powerful method for searching a large database of graphs. Most graph indexing methods to date tackle the exact matching (isomorphism) problem, limiting their applicability to specific instances in which such matches exist. Here we provide a novel graph indexing method to cope with the more general, inexact matching problem. Our method, SIGMA, builds on approximating a variant of the set-cover problem that concerns overlapping multi-sets. We extensively test our method and compare it to a baseline method and to the state-of-the-art Grafil. We show that SIGMA outperforms both, providing higher pruning power in all the tested scenarios.
| Titolo: | SIGMA: A SET-COVER-BASED INEXACT GRAPH MATCHING ALGORITHM |
| Autori interni: | |
| Data di pubblicazione: | 2010 |
| Rivista: | |
| Handle: | http://hdl.handle.net/20.500.11769/251702 |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
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