All Stories

  1. Corrigendum: A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness: [Experiments & Analysis]

    Article • Proceedings of the ACM on Management of Data, April 2026, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S., Ningyi Liao

  2. On Efficient Approximate Aggregate Nearest Neighbor Queries over Learned Representations

    Article • Proceedings of the ACM on Management of Data, April 2026, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S.

  3. KRAFT: A Knowledge Graph-Based Framework for Automated Map Conflation

    Article • November 2025, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S.

  4. On Influence Tail Bounds in Online Social Networks

    Article • November 2025, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S.

  5. A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness

    Article • Proceedings of the ACM on Management of Data, September 2025, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S., Ningyi Liao

  6. Hyperparametric Influence Minimization: Feature-Driven Intervention Beyond Blocking

    Article • August 2025, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S.

  7. Fast Maximum Common Subgraph Search: A Redundancy-Reduced Backtracking Approach

    Article • Proceedings of the ACM on Management of Data, June 2025, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S.

  8. TRACE: Intra-visit Clinical Event Nowcasting via Effective Patient Trajectory Encoding

    Article • May 2025, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S., Yankai Chen, Chenhao Ma

  9. SANS: Efficient Densest Subgraph Discovery over Relational Graphs without Materialization

    Article • April 2025, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S.

  10. Predicting Cascading Failures with a Hyperparametric Diffusion Model

    Article • August 2024, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S.

  11. Mitigating Filter Bubbles Under a Competitive Diffusion Model

    Article • Proceedings of the ACM on Management of Data, June 2023, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S.

  12. How to Invoke Powerful AI Models Intelligently and Effectively?

    Article • Proceedings of the VLDB Endowment, December 2022, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S.

  13. A Convex-Programming Approach for Efficient Directed Densest Subgraph Discovery

    Article • June 2022, ACM (Association for Computing Machinery)

    Chenhao Ma, Laks Lakshmanan, V.S.

  14. How to Counter Information Filter Bubbles and Fake News?

    Article • June 2022, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S.

  15. FirmCore Decomposition of Multilayer Networks

    Article • April 2022, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S.

  16. On Directed Densest Subgraph Discovery

    Article • ACM Transactions on Database Systems, December 2021, ACM (Association for Computing Machinery)

    Chenhao Ma, Laks Lakshmanan, V.S.

  17. MAYUR

    Article • November 2021, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S.

  18. Efficient Directed Densest Subgraph Discovery

    Article • ACM SIGMOD Record, June 2021, ACM (Association for Computing Machinery)

    Chenhao Ma, Laks Lakshmanan, V.S.

  19. To Intervene or Not To Intervene: Cost based Intervention for Combating Fake News

    Article • June 2021, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S.

  20. Efficient and Effective Algorithms for Revenue Maximization in Social Advertising

    Article • June 2021, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S.

  21. Efficient Algorithms for Densest Subgraph Discovery on Large Directed Graphs

    Article • May 2020, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S., Chenhao Ma

  22. Split Regularized Regression

    Article • Technometrics, July 2019, Taylor & Francis

    Laks Lakshmanan, V.S.

  23. Maximizing Welfare in Social Networks under A Utility Driven Influence Diffusion model

    Article • June 2019, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S.

  24. Efficient Approximation Algorithms for Adaptive Seed Minimization

    Article • June 2019, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S., Aixin Sun

  25. FastQRE

    Article • May 2018, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S., Divesh Srivastava

  26. Influence Maximization in Online Social Networks

    Article • February 2018, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S.

  27. Exploring Rated Datasets with Rating Maps

    Article • April 2017, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S.

  28. Truss Decomposition of Probabilistic Graphs

    Article • June 2016, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S.

  29. From Group Recommendations to Group Formation

    Article • May 2015, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S.

  30. KeySee

    Article • August 2013, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S.

  31. The bang for the buck

    Article • August 2013, ACM (Association for Computing Machinery)

    Laks Lakshmanan, V.S.

  32. Foreword

    Article • The VLDB Journal, November 2010, Springer Science + Business Media

    Laks Lakshmanan, V.S.