Network querying is a growing domain with vast applications ranging from screening compounds against a database of known molecules to matching subnetworks across species. Graph indexing is a powerful method for searching for queries in a large database of graphs. Most graph indexing methods to date tackle the exact matching (isomorphism) problem, limiting their applicability to speci¯c 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 new variant of the set-cover problem that concerns overlapping multi-sets. We extensively test our method and compare it to a layman approach and to the state-of-the-art Grafil. We show that SIGMA outperforms both, providing higher pruning power in all the tested scenarios.
A set-cover-based approach for inexact graph matching
GIUGNO, ROSALBA;
2009-01-01
Abstract
Network querying is a growing domain with vast applications ranging from screening compounds against a database of known molecules to matching subnetworks across species. Graph indexing is a powerful method for searching for queries in a large database of graphs. Most graph indexing methods to date tackle the exact matching (isomorphism) problem, limiting their applicability to speci¯c 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 new variant of the set-cover problem that concerns overlapping multi-sets. We extensively test our method and compare it to a layman approach and to the state-of-the-art Grafil. We show that SIGMA outperforms both, providing higher pruning power in all the tested scenarios.
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