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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
0.00012416665
Overall Rank
1,027 | 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
2,469 Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU 2020 VLDB 8.412568e-05
2,519 Fractal: A General-Purpose Graph Pattern Mining System 2019 SIGMOD 8.3494241e-05
3,498 COMMIT: A Scalable Approach to Mining Communication Motifs from Dynamic Networks 2015 SIGMOD 7.2516799e-05
4,071 Beyond Macrobenchmarks: Microbenchmark-based Graph Database Evaluation 2019 VLDB 6.8182854e-05
4,860 Association Rules with Graph Patterns 2015 VLDB 6.3763445e-05
5,904 Combining Sampling and Synopses with Worst-Case Optimal Runtime and Quality Guarantees for Graph Pattern Cardinality Estimation 2021 SIGMOD 5.9511271e-05
6,443 Maverick: Discovering Exceptional Facts from Knowledge Graphs 2018 SIGMOD 5.7814657e-05
7,245 Discovering Graph Functional Dependencies 2018 SIGMOD 5.5741839e-05
7,253 T-FSM: A Task-Based System for Massively Parallel Frequent Subgraph Pattern Mining from a Big Graph 2023 SIGMOD 5.5714652e-05
7,715 Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods 2025 VLDB 5.4692724e-05
7,943 GraphINC: Graph Pattern Mining at Network Speed 2023 SIGMOD 5.4197795e-05
8,044 Flexible and Feasible Support Measures for Mining Frequent Patterns in Large Labeled Graphs 2017 SIGMOD 5.3994211e-05
8,225 Towards Event Prediction in Temporal Graphs 2022 VLDB 5.3737187e-05
8,345 Mining Top-k Pairs of Correlated Subgraphs in a Large Network 2020 VLDB 5.3491485e-05
8,900 Efficient Top-k Frequent Subgraph Mining Using Tight Upper and Lower Bounds 2025 VLDB 5.2534908e-05
9,287 Ontological Pathfinding: Mining First-Order Knowledge from Large Knowledge Bases 2016 SIGMOD 5.2015703e-05
9,306 TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database 2023 SIGMOD 5.1966832e-05
9,813 Making It Tractable to Catch Duplicates and Conflicts in Graphs 2023 SIGMOD 5.1233734e-05
9,867 GARUDA: A System for Large-Scale Mining of Statistically Significant Connected Subgraphs 2016 VLDB 5.1154699e-05
10,208 Sage: Parallel Semi-Asymmetric Graph Algorithms for NVRAMs 2020 VLDB 5.0586451e-05
10,796 MDS-FSM: Coverage-Based Frequent Subgraph Mining in Single Graphs 2026 VLDB 4.9769913e-05
10,798 Subgraph Enumeration: Beyond Tree Decomposition 2026 VLDB 4.9769913e-05
12,065 Approximate Pattern Matching in Massive Graphs with Precision and Recall Guarantees 2020 SIGMOD 4.9769913e-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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