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TurboISO: Towards UltraFast and Robust Subgraph Isomorphism Search in Large Graph Databases

Summary: TurboISO delivers ultra-fast, robust subgraph isomorphism for large graphs via on-the-fly candidate region exploration that locates embeddings and stabilizes per-region order. COMB/PERM uses neighborhood equivalence classes (NEC) to enumerate combinations, prune permutations, and deliver speedups on real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h89e1bb33c3c07ff5
Venue
SIGMOD
Year
2013
Pagerank
0.00017479773
Overall Rank
485 | 96.76%
DOI
10.1145/2463676.2465300

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{han_sigmod13,
        title = {{TurboISO: Towards UltraFast and Robust Subgraph Isomorphism Search in Large Graph Databases}},
        author = {Han, Wook-Shin and Lee, Jinsoo and Lee, Jeong-Hoon},
        series = {{SIGMOD} '13},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2463676.2465300},
        url = {https://dl.acm.org/doi/10.1145/2463676.2465300},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 26 of 76 citing papers.

Rank Citing Paper Year Venue Pagerank
10,101 TC-Match: Fast Time-constrained Continuous Subgraph Matching 2024 VLDB 5.068372e-05
10,145 View-based Explanations for Graph Neural Networks 2024 SIGMOD 5.0597449e-05
10,168 A Modular Graph-Native Query Optimization Framework 2025 SIGMOD 5.0559291e-05
10,241 Sage: Parallel Semi-Asymmetric Graph Algorithms for NVRAMs 2020 VLDB 5.041918e-05
10,268 Graph Exploration: From Users to Large Graphs 2017 SIGMOD 5.0377816e-05
10,281 Towards the Scheduling of Vertex-constrained Multi Subgraph Matching Query 2020 SIGMOD 5.0334833e-05
10,289 A Comprehensive Survey of Subgraph Matching: [Experiments & Analysis] 2026 SIGMOD 5.031399e-05
10,333 MAVIS: Materialized View for Subgraph Matching 2026 SIGMOD 5.0225409e-05
10,379 Algebraic Subgraph Counting 2027 SIGMOD 4.9605343e-05
10,498 Beyond Maximum Common Subgraph: A Framework Maximizing Shared Computation for Multi-Query Subgraph Matching 2026 SIGMOD 4.9605343e-05
10,522 Efficient Meta-subgraph Instance Search over Large Heterogeneous Information Networks 2026 SIGMOD 4.9605343e-05
10,630 Continuous Subgraph Matching via Cost-Model-based Dynamic Vertex Dominance Embeddings 2026 SIGMOD 4.9605343e-05
10,647 GraphTwin: Cache-Centric Bit-Level Graph Representation for Fast and Exact Graph Queries 2026 SIGMOD 4.9605343e-05
10,689 An Extensive Experimental Study of Indexes in Continuous Subgraph Matching:[Experiments & Analysis] 2026 SIGMOD 4.9605343e-05
10,805 CEMR: An Effective Subgraph Matching Algorithm with Redundant Extension Elimination 2026 VLDB 4.9605343e-05
10,811 Characterizing Parallel Subgraph Matching Performance: A Systematic Study of Interactions, Scalability, and Enumeration 2026 VLDB 4.9605343e-05
10,859 Subgraph Enumeration: Beyond Tree Decomposition 2026 VLDB 4.9605343e-05
11,123 Efficient Partition-based Approaches for Diversified Top-k Subgraph Matching 2026 VLDB 4.9605343e-05
11,349 Efficient and Accurate Subgraph Counting: A Bottom-up Flow-learning Based Approach 2025 VLDB 4.9605343e-05
11,491 Mix & Match: Subgraph Matching for Absolute Coverage 2025 VLDB 4.9605343e-05
11,590 Atom: An Efficient Query Serving System for Embedding-based Knowledge Graph Reasoning with Operator-level Batching 2024 SIGMOD 4.9605343e-05
11,601 Towards a Converged Relational-Graph Optimization Framework 2024 SIGMOD 4.9605343e-05
12,023 Graph Iso/Auto-morphism: A Divide-&-Conquer Approach 2021 SIGMOD 4.9605343e-05
12,115 Simulation-based Approximate Graph Pattern Matching 2020 SIGMOD 4.9605343e-05
12,145 IDAR: Fast Supergraph Search Using DAG Integration 2020 VLDB 4.9605343e-05
12,287 PANDA: A System for Partial Topology-based Search on Large Networks 2018 VLDB 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

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