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GraMI: Frequent Subgraph and Pattern Mining in a Single Large Graph

Summary: GraMI mines frequent subgraphs directly in one large graph, avoiding exhaustive instance enumeration by finding only the minimal instances needed to meet the support threshold. Extensions support transitive patterns, structural/semantic constraints, and false-positive-free approximation, yielding up to 100× speedups. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h79c9d11640e859ad
Venue
VLDB
Year
2014
Pagerank
0.00012379698
Overall Rank
1,031 | 93.10%
DOI
10.14778/2732286.2732289
PDF
Download (CC BY-NC-ND 3.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{elseidy_vldb14,
        title = {{GraMI: Frequent Subgraph and Pattern Mining in a Single Large Graph}},
        author = {Elseidy, Mohammed and Abdelhamid, Ehab and Skiadopoulos, Spiros and Kalnis, Panos},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {7},
        pages = {517--528},
        doi = {10.14778/2732286.2732289},
        url = {https://doi.org/10.14778/2732286.2732289},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 23 of 23 citing papers.

Rank Citing Paper Year Venue Pagerank
2,480 Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU 2020 VLDB 8.387452e-05
2,528 Fractal: A General-Purpose Graph Pattern Mining System 2019 SIGMOD 8.3237453e-05
3,508 COMMIT: A Scalable Approach to Mining Communication Motifs from Dynamic Networks 2015 SIGMOD 7.2281243e-05
4,086 Beyond Macrobenchmarks: Microbenchmark-based Graph Database Evaluation 2019 VLDB 6.7974939e-05
4,838 Association Rules with Graph Patterns 2015 VLDB 6.3753978e-05
5,717 Combining Sampling and Synopses with Worst-Case Optimal Runtime and Quality Guarantees for Graph Pattern Cardinality Estimation 2021 SIGMOD 6.0067263e-05
6,454 Maverick: Discovering Exceptional Facts from Knowledge Graphs 2018 SIGMOD 5.7623501e-05
7,263 Discovering Graph Functional Dependencies 2018 SIGMOD 5.5557683e-05
7,271 T-FSM: A Task-Based System for Massively Parallel Frequent Subgraph Pattern Mining from a Big Graph 2023 SIGMOD 5.5530425e-05
7,729 Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods 2025 VLDB 5.4511876e-05
7,957 GraphINC: Graph Pattern Mining at Network Speed 2023 SIGMOD 5.4019044e-05
8,063 Flexible and Feasible Support Measures for Mining Frequent Patterns in Large Labeled Graphs 2017 SIGMOD 5.3815673e-05
8,243 Towards Event Prediction in Temporal Graphs 2022 VLDB 5.3559499e-05
8,358 Mining Top-k Pairs of Correlated Subgraphs in a Large Network 2020 VLDB 5.3314609e-05
8,920 Efficient Top-k Frequent Subgraph Mining Using Tight Upper and Lower Bounds 2025 VLDB 5.2361195e-05
9,310 Ontological Pathfinding: Mining First-Order Knowledge from Large Knowledge Bases 2016 SIGMOD 5.1843936e-05
9,334 TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database 2023 SIGMOD 5.1794997e-05
9,847 Making It Tractable to Catch Duplicates and Conflicts in Graphs 2023 SIGMOD 5.1064323e-05
9,902 GARUDA: A System for Large-Scale Mining of Statistically Significant Connected Subgraphs 2016 VLDB 5.0985581e-05
10,241 Sage: Parallel Semi-Asymmetric Graph Algorithms for NVRAMs 2020 VLDB 5.041918e-05
10,857 MDS-FSM: Coverage-Based Frequent Subgraph Mining in Single Graphs 2026 VLDB 4.9605343e-05
10,859 Subgraph Enumeration: Beyond Tree Decomposition 2026 VLDB 4.9605343e-05
12,109 Approximate Pattern Matching in Massive Graphs with Precision and Recall Guarantees 2020 SIGMOD 4.9605343e-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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