Efficient and Effective Algorithms for A Family of Influence Maximization Problems with A Matroid Constraint
Summary: Targets multi-campaign influence maximization under matroid constraints, achieving a (1−1/e−ε)-approximation with efficient AMP and accelerated RAMP. Experiments and an online-gaming deployment demonstrate superior quality, runtime, and memory use. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Yiqian Huang (National University of Singapore)
- 2. Shiqi Zhang (National University of Singapore; PyroWis AI)
- 3. Laks V.S. Lakshmanan (University of British Columbia)
- 4. Wenqing Lin (Tencent)
- 5. Xiaokui Xiao (National University of Singapore)
- 6. Bo Tang (Southern University of Science and Technology)
BibTeX Citation
@article{huang_vldb25,
title = {{Efficient and Effective Algorithms for A Family of Influence Maximization Problems with A Matroid Constraint}},
author = {Huang, Yiqian and Zhang, Shiqi and Lakshmanan, Laks V.S. and Lin, Wenqing and Xiao, Xiaokui and Tang, Bo},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {2},
pages = {117--129},
doi = {10.14778/3705829.3705833},
url = {https://doi.org/10.14778/3705829.3705833},
year = {2025}
}
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