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Efficient Search in Graph Edit Distance: Metric Search Trees vs. Brute Force Verification

Databases 2024-05-29 v1 Information Retrieval

Abstract

This report evaluates the efficiency of Graph Edit Distance (GED) computation for graph similarity search, comparing Cascading Metric Trees (CMT) with brute-force verification. Despite the anticipated advantages of CMT, our findings indicate it does not consistently outperform brute-force methods in speed. The study, based on graph data from PubChem, suggests that the computational complexity of GED-based GSS remains a challenge.

Keywords

Cite

@article{arxiv.2405.17434,
  title  = {Efficient Search in Graph Edit Distance: Metric Search Trees vs. Brute Force Verification},
  author = {Wenqi Marshall Guo and Jeffrey Uhlmann},
  journal= {arXiv preprint arXiv:2405.17434},
  year   = {2024}
}
R2 v1 2026-06-28T16:42:33.714Z