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Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU

Summary: Pangolin is a GPM framework for CPU and GPU with extend-reduce-filter interface for pruning and isomorphism elimination. Locality- and memory-aware optimizations reduce allocations and synchronization, delivering substantial CPU and GPU speedups over prior GPM systems. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
he9030133a94d73db
Venue
VLDB
Year
2020
Pagerank
8.4165523e-05
Overall Rank
2,469 | 83.41%
DOI
10.14778/3389133.3389137

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{chen_vldb20,
        title = {{Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU}},
        author = {Chen, Xuhao and Dathathri, Roshan and Gill, Gurbinder and Pingali, Keshav},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {8},
        pages = {1190--1205},
        doi = {10.14778/3389133.3389137},
        url = {https://doi.org/10.14778/3389133.3389137},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 17 of 17 citing papers.

Rank Citing Paper Year Venue Pagerank
4,075 A Comprehensive Survey and Experimental Study of Subgraph Matching: Trends, Unbiasedness, and Interaction 2024 SIGMOD 6.8188389e-05
4,511 Circinus: Fast Redundancy-Reduced Subgraph Matching 2023 SIGMOD 6.5681258e-05
5,139 Efficient Load-Balanced Butterfly Counting on GPU 2022 VLDB 6.2579755e-05
5,450 Accurate and Fast Approximate Graph Pattern Mining at Scale 2025 VLDB 6.1247776e-05
6,893 PimPam: Efficient Graph Pattern Matching on Real Processing-in-Memory Hardware 2024 SIGMOD 5.6540469e-05
7,101 GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra 2021 VLDB 5.601767e-05
7,251 T-FSM: A Task-Based System for Massively Parallel Frequent Subgraph Pattern Mining from a Big Graph 2023 SIGMOD 5.574104e-05
7,708 Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods 2025 VLDB 5.4718627e-05
7,939 GraphINC: Graph Pattern Mining at Network Speed 2023 SIGMOD 5.4223464e-05
9,361 Subgraph Matching: A New Decomposition Based Approach 2025 VLDB 5.1868213e-05
9,961 Everest: GPU-Accelerated System For Mining Temporal Motifs 2024 VLDB 5.1038322e-05
10,270 GraphMatch: Subgraph Query Processing on Steroids 2026 SIGMOD 5.0485061e-05
10,487 Octopus: Efficient Hypergraph Pattern Mining with Practical Processing-in-Memory Architecture 2026 SIGMOD 4.9793485e-05
10,573 GraphTwin: Cache-Centric Bit-Level Graph Representation for Fast and Exact Graph Queries 2026 SIGMOD 4.9793485e-05
10,746 gMatch: Fine-Grained and Hardware-Efficient Subgraph Matching on GPUs 2026 VLDB 4.9793485e-05
10,788 Subgraph Enumeration: Beyond Tree Decomposition 2026 VLDB 4.9793485e-05
11,312 X-Blossom: Massive Parallelization of Graph Maximum Matching 2025 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

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