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K-Core Decomposition of Large Networks on a Single PC

Summary: Demonstrates exact and approximate k-core decomposition for billion-edge graphs on a single consumer PC via GraphChi/WebGraph and optimized external-memory methods. Benchmarks show practical scalability, while exposing EMcore’s inability to predict memory sufficiency. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h4230b94dc3fa5ede
Venue
VLDB
Year
2016
Pagerank
0.00013576778
Overall Rank
834 | 94.40%
DOI
10.14778/2850469.2850471
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{khaouid_vldb16,
        title = {{K-Core Decomposition of Large Networks on a Single PC}},
        author = {Khaouid, Wissam and Barsky, Marina and Srinivasan, Venkatesh and Thomo, Alex},
        journal = {PVLDB},
        series = {{VLDB} '16},
        volume = {9},
        number = {1},
        pages = {13--24},
        doi = {10.14778/2850469.2850471},
        url = {https://doi.org/10.14778/2850469.2850471},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 28 of 28 citing papers.

Rank Citing Paper Year Venue Pagerank
1,092 Truss-based Community Search: a Truss-equivalence Based Indexing Approach 2017 VLDB 0.00012066667
1,224 Vertex Priority Based Butterfly Counting for Large-scale Bipartite Networks 2019 VLDB 0.00011458287
1,444 Local Algorithms for Hierarchical Dense Subgraph Discovery 2019 VLDB 0.00010630508
1,648 Distance-generalized Core Decomposition 2019 SIGMOD 9.9816501e-05
2,121 Fast Hierarchy Construction for Dense Subgraphs 2017 VLDB 9.0060232e-05
2,148 Maximum Co-located Community Search in Large Scale Social Networks 2018 VLDB 8.9552955e-05
2,869 Hierarchical Core Maintenance on Large Dynamic Graphs 2021 VLDB 7.9197812e-05
3,251 On Querying Historical K-Cores 2021 VLDB 7.4903737e-05
3,315 Accelerating Triangle Counting on GPU 2021 SIGMOD 7.4345556e-05
3,868 Distributed D-core Decomposition over Large Directed Graphs 2022 VLDB 6.9548387e-05
4,315 Neighborhood-based Hypergraph Core Decomposition 2023 VLDB 6.6663685e-05
4,424 Global Reinforcement of Social Networks: The Anchored Coreness Problem 2020 SIGMOD 6.6029248e-05
5,141 Efficient Load-Balanced Butterfly Counting on GPU 2022 VLDB 6.2550131e-05
5,721 Local Algorithms for Distance-generalized Core Decomposition over Large Dynamic Graphs 2021 VLDB 6.0157099e-05
5,976 Theoretically and Practically Efficient Parallel Nucleus Decomposition 2022 VLDB 5.9272031e-05
6,655 Efficient Parallel D-core Decomposition at Scale 2024 VLDB 5.717615e-05
7,103 GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra 2021 VLDB 5.5991152e-05
7,553 Efficient Triangle-Connected Truss Community Search In Dynamic Graphs 2023 VLDB 5.4955664e-05
7,753 RECEIPT: REfine CoarsE-grained IndePendent Tasks for Parallel Tip decomposition of Bipartite Graphs 2021 VLDB 5.4575542e-05
8,077 Parallel k-Core Decomposition: Theory and Practice 2025 SIGMOD 5.3917406e-05
8,987 On More Efficiently and Versatilely Querying Historical k-Cores 2025 VLDB 5.2424308e-05
9,258 Time-Topology Analysis 2021 VLDB 5.2032182e-05
9,485 Accelerating Core Decomposition in Billion-Scale Hypergraphs 2025 SIGMOD 5.168414e-05
9,878 Parallel Algorithms for Hierarchical Nucleus Decomposition 2024 SIGMOD 5.115241e-05
10,496 Nucleus Decomposition Revisited: An Efficient Counting-Based Approach 2026 SIGMOD 4.9769913e-05
10,506 Querying Cohesive Subgraphs in Temporal Graphs 2026 SIGMOD 4.9769913e-05
11,189 Community Detection in Heterogeneous Information Networks Without Materialization 2025 SIGMOD 4.9769913e-05
11,224 Most Similar Biclique Search at Scale 2025 VLDB 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
3 Pregel: A System for Large-Scale Graph Processing 2010 SIGMOD 0.0012087459
22 Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud 2012 VLDB 0.00055938421
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