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Boosting Graph Similarity Search through Pre-Computation

Summary: Introduces Nass, a pre-computation-driven graph-similarity framework that stores inter-graph GEDs to prune candidates in filtering. Coupled with an efficient GED computation module, Nass minimizes verifications and outperforms prior work. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6061
Venue
SIGMOD
Year
2021
Pagerank
4.9109527e-05
Overall Rank
6,839 | 52.43%
DOI
10.1145/3448016.3452780

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
2,996 FedKNN: Secure Federated k-Nearest Neighbor Search 2024 SIGMOD 7.7586458e-05
8,069 Computing Approximate Graph Edit Distance via Optimal Transport 2025 SIGMOD 4.5934204e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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