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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
0.00013587885
Overall Rank
829 | 94.45%
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
1,045 Truss-based Community Search: a Truss-equivalence Based Indexing Approach 2017 VLDB 0.00012318828
1,227 Vertex Priority Based Butterfly Counting for Large-scale Bipartite Networks 2019 VLDB 0.00011426039
1,398 Local Algorithms for Hierarchical Dense Subgraph Discovery 2019 VLDB 0.0001076734
1,613 Distance-generalized Core Decomposition 2019 SIGMOD 0.00010057822
2,005 Fast Hierarchy Construction for Dense Subgraphs 2017 VLDB 9.1851569e-05
2,110 Maximum Co-located Community Search in Large Scale Social Networks 2018 VLDB 9.0222862e-05
2,873 Hierarchical Core Maintenance on Large Dynamic Graphs 2021 VLDB 7.9005874e-05
3,170 On Querying Historical K-Cores 2021 VLDB 7.5572564e-05
3,321 Accelerating Triangle Counting on GPU 2021 SIGMOD 7.4117038e-05
3,880 Distributed D-core Decomposition over Large Directed Graphs 2022 VLDB 6.9318416e-05
4,180 Global Reinforcement of Social Networks: The Anchored Coreness Problem 2020 SIGMOD 6.7474268e-05
4,333 Neighborhood-based Hypergraph Core Decomposition 2023 VLDB 6.6444874e-05
5,164 Efficient Load-Balanced Butterfly Counting on GPU 2022 VLDB 6.2343301e-05
5,575 Theoretically and Practically Efficient Parallel Nucleus Decomposition 2022 VLDB 6.0626208e-05
5,725 Local Algorithms for Distance-generalized Core Decomposition over Large Dynamic Graphs 2021 VLDB 5.9991587e-05
6,666 Efficient Parallel D-core Decomposition at Scale 2024 VLDB 5.698709e-05
7,126 GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra 2021 VLDB 5.580601e-05
7,568 Efficient Triangle-Connected Truss Community Search In Dynamic Graphs 2023 VLDB 5.4773947e-05
7,752 RECEIPT: REfine CoarsE-grained IndePendent Tasks for Parallel Tip decomposition of Bipartite Graphs 2021 VLDB 5.4440674e-05
8,095 Parallel k-Core Decomposition: Theory and Practice 2025 SIGMOD 5.3739121e-05
8,536 On More Efficiently and Versatilely Querying Historical k-Cores 2025 VLDB 5.3051047e-05
9,282 Time-Topology Analysis 2021 VLDB 5.1860131e-05
9,514 Accelerating Core Decomposition in Billion-Scale Hypergraphs 2025 SIGMOD 5.151324e-05
9,911 Parallel Algorithms for Hierarchical Nucleus Decomposition 2024 SIGMOD 5.0983269e-05
10,562 Nucleus Decomposition Revisited: An Efficient Counting-Based Approach 2026 SIGMOD 4.9605343e-05
10,572 Querying Cohesive Subgraphs in Temporal Graphs 2026 SIGMOD 4.9605343e-05
11,248 Community Detection in Heterogeneous Information Networks Without Materialization 2025 SIGMOD 4.9605343e-05
11,280 Most Similar Biclique Search at Scale 2025 VLDB 4.9605343e-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 0.0012089097
22 Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud 2012 VLDB 0.00056028465
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