Leveraging Graph Dimensions in Online Graph Search
Summary: DS-preserved mapping of graphs into a multidimensional space MG under dimension M via φ, preserving distance and structure. Enables online top-k similarity queries by distance-structure preservation; introduces DSPM and DSPMap to select subgraphs and optimize queries, with real/synthetic experiments. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yuanyuan Zhu
- 2. Jeffrey Xu Yu
- 3. Lu Qin
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 203 | Graph Indexing: A Frequent Structure-based Approach | 2004 | SIGMOD | 0.00034889335 |
| 350 | FG-Index: Towards Verification-Free Query Processing on Graph Databases | 2007 | SIGMOD | 0.00026365067 |
| 572 | Substructure Similarity Search in Graph Databases | 2005 | SIGMOD | 0.00019887011 |
| 1,808 | Top-k Query Evaluation with Probabilistic Guarantees | 2004 | VLDB | 0.00010486213 |
| 2,438 | Towards Graph Containment Search and Indexing | 2007 | VLDB | 8.8214248e-05 |
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