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M. Khosla

 https://orcid.org/0000-0002-0319-3181
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  • 2024

    Model Selection with Model Zoo via Graph Learning

    Li, Z., Van Der Wilk, H., Zhan, D., Khosla, M., Bozzon, A. & Hai, R., 2024, Proceedings - 2024 IEEE 40th International Conference on Data Engineering, ICDE 2024. IEEE, p. 1296-1309 14 p. (Proceedings - International Conference on Data Engineering).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
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    5 Downloads (Pure)
  • 2023

    Private Graph Extraction via Feature Explanations

    Olatunji, I. E., Rathee, M., Funke, T. & Khosla, M., 2023, Proceedings on Privacy Enhancing Technologies 2023(2) . p. 59-78 20 p.

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
    File
    99 Downloads (Pure)
  • 2022

    Efficient Neural Ranking using Forward Indexes

    Leonhardt, J., Rudra, K., Khosla, M., Anand, A. & Anand, A., 2022, Proceedings of the ACM Web Conference 2022.

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

  • Privacy and Transparency in Graph Machine Learning: A Unified Perspective

    Khosla, M., 2022, AIMLAI’22: In Proceedings of Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI) at CIKM’22. Drakopoulos, G. & Kafeza, E. (eds.). 6 p. (Ceur Workshop Proceedings; vol. 3318).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
    File
    144 Downloads (Pure)
  • 2021

    Membership Inference Attack on Graph Neural Networks

    Olatunji, I. E., Nejdl, W. & Khosla, M., 2021, IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications.

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

  • 2020

    Boilerplate removal using a neural sequence labeling model

    Leonhardt, J., Anand, A. & Khosla, M., 2020, The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020. p. 226-229 4 p. (The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    12 Citations (Scopus)

  • Node Representation Learning for Directed Graphs

    Khosla, M., Leonhardt, J., Nejdl, W. & Anand, A., 2020, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Proceedings. Brefeld, U., Fromont, E., Hotho, A., Knobbe, A., Maathuis, M. & Robardet, C. (eds.). Vol. 11906. p. 395-411 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11906 LNAI).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    27 Citations (Scopus)
  • 2018

    Delusive pagerank in incomplete graphs

    Holzmann, H., Anand, A. & Khosla, M., 2018, International Conference on Complex Networks and their Applications.

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

  • User Fairness in Recommender Systems

    Leonhardt, J., Anand, A. & Khosla, M., 2018, Companion Proceedings of the The Web Conference 2018.

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

  • 2013

    Balls into Bins made Faster

    Khosla, M., 2013, Proceedings of the Twenty-First Annual European Symposium on Algorithms.

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

  • 2011

    The Multiple-Orientability Thresholds for Random Hypergraphs

    Fountoulakis, N., Khosla, M. & Panagiotou, K., 2011, Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete algorithms (SODA'11. Randall, D. (ed.). 6 ed. Vol. 25. p. 1222-1236 (Combinatorics, Probability and Computing).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review