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Fractal: A General-Purpose Graph Pattern Mining System

Summary: Fractal is a general-purpose distributed graph pattern mining system with auto-tuned, locality-aware load balancing via hierarchical work stealing. It uses a depth-first, from-scratch subgraph enumeration to reduce intermediate state and memory, plus a modular API for expressive GPM; it outperforms baselines on multiple workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h3f330cd7bb04076c
Venue
SIGMOD
Year
2019
Pagerank
8.3494241e-05
Overall Rank
2,519 | 83.08%
DOI
10.1145/3299869.3319875

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{dias_sigmod19,
        title = {{Fractal: A General-Purpose Graph Pattern Mining System}},
        author = {Dias, Vinicius and Teixeira, Carlos H. C. and Guedes, Dorgival and Meira, Jr., Wagner and Parthasarathy, Srinivasan},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3319875},
        url = {https://dl.acm.org/doi/10.1145/3299869.3319875},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 18 of 18 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
2,961 Sortledton: a Universal, Transactional Graph Data Structure 2022 VLDB 7.8039167e-05
4,077 A Comprehensive Survey and Experimental Study of Subgraph Matching: Trends, Unbiasedness, and Interaction 2024 SIGMOD 6.8156109e-05
4,124 HUGE: An Efficient and Scalable Subgraph Enumeration System 2021 SIGMOD 6.7895411e-05
4,512 Circinus: Fast Redundancy-Reduced Subgraph Matching 2023 SIGMOD 6.5650165e-05
5,455 Accurate and Fast Approximate Graph Pattern Mining at Scale 2025 VLDB 6.1218783e-05
6,896 PimPam: Efficient Graph Pattern Matching on Real Processing-in-Memory Hardware 2024 SIGMOD 5.6513703e-05
7,103 GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra 2021 VLDB 5.5991152e-05
7,250 Distributed Hop-Constrained s-t Simple Path Enumeration at Billion Scale 2022 VLDB 5.5720266e-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
7,535 Fast Local Subgraph Counting 2024 VLDB 5.4983904e-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
9,318 Revisiting Graph Analytics Benchmark 2025 SIGMOD 5.1944733e-05
9,666 Parallel Query Processing: To Separate Communication from Computation 2022 SIGMOD 5.142891e-05
10,260 A Comprehensive Survey of Subgraph Matching: [Experiments & Analysis] 2026 SIGMOD 5.0480912e-05
10,756 gMatch: Fine-Grained and Hardware-Efficient Subgraph Matching on GPUs 2026 VLDB 4.9769913e-05
10,803 AGIS: Fast Approximate Graph Pattern Mining with Structure-Informed Sampling 2026 VLDB 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

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