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Resource-Efficient FirmCore Decomposition on Billion-scale Multilayer Graphs

Summary: Exploits the FC-Grid structure of FirmCores to design resource-efficient serial, multicore, and first GPU decompositions for billion-scale multilayer graphs. Achieves 9× serial and 100.3× parallel speedups, plus 15× faster densest-subgraph mining. (summarized by gpt-5.6-luna on Aug 28 2026)

Paper ID
h614bb24693f84cd0
Venue
VLDB
Year
2026
Pagerank
4.9793485e-05
Overall Rank
10,875 | 26.89%
DOI
10.14778/3836663.3836703

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Authors

BibTeX Citation

@article{huang_vldb26,
        title = {{Resource-Efficient FirmCore Decomposition on Billion-scale Multilayer Graphs}},
        author = {Huang, Cheng and Mottin, Davide and Assent, Ira},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {11},
        pages = {3483--3496},
        doi = {10.14778/3836663.3836703},
        url = {https://doi.org/10.14778/3836663.3836703},
        year = {2026}
}

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

Rank Cited Paper Year Venue Pagerank
131 Discovering Large Dense Subgraphs in Massive Graphs 2005 VLDB 0.00030242586
758 Streaming Algorithms for k-core Decomposition 2013 VLDB 0.00014188163
6,727 gCore: Exploring Cross-layer Cohesiveness in Multi-layer Graphs 2023 VLDB 5.6946659e-05
8,070 Parallel k-Core Decomposition: Theory and Practice 2025 SIGMOD 5.3942942e-05
10,460 Geld: Load-balanced D-Core Decomposition for Consumer GPUs 2026 SIGMOD 4.9793485e-05
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