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

Wenqi Marshall Guo; Jeffrey Uhlmann

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arXiv · 2405.17434

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

Wenqi Marshall Guo·Jeffrey Uhlmann

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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.

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Wenqi Marshall Guo, Jeffrey Uhlmann. 2024-03-15. Efficient Search in Graph Edit Distance: Metric Search Trees vs. Brute Force Verification. https://arxiv.org/abs/2405.17434

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