Link propagation: A fast semi-supervised learning algorithm for link prediction

Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanishi, Masashi Sugiyama, Koji Tsuda

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    51 Citations (Scopus)

    Abstract

    We propose Link Propagation as a new semi-supervised learning method for link prediction problems, where the task is to predict unknown parts of the network structure by using auxiliary information such as node similarities. Since the proposed method can fill in missing parts of tensors, it is applicable to multi-relational domains, allowing us to handle multiple types of links simultaneously. We also give a novel efficient algorithm for Link Propagation based on an accelerated conjugate gradient method.

    Original languageEnglish
    Title of host publicationSociety for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics 133
    Pages1093-1104
    Number of pages12
    Publication statusPublished - Dec 1 2009
    Event9th SIAM International Conference on Data Mining 2009, SDM 2009 - Sparks, NV, United States
    Duration: Apr 30 2009May 2 2009

    Publication series

    NameSociety for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics
    Volume3

    Other

    Other9th SIAM International Conference on Data Mining 2009, SDM 2009
    CountryUnited States
    CitySparks, NV
    Period4/30/095/2/09

    Fingerprint

    Semi-supervised Learning
    Conjugate gradient method
    Supervised learning
    Learning algorithms
    Tensors
    Learning Algorithm
    Propagation
    Auxiliary Information
    Prediction
    Conjugate Gradient Method
    Network Structure
    Efficient Algorithms
    Tensor
    Predict
    Unknown
    Vertex of a graph
    Similarity

    All Science Journal Classification (ASJC) codes

    • Computational Theory and Mathematics
    • Software
    • Applied Mathematics

    Cite this

    Kashima, H., Kato, T., Yamanishi, Y., Sugiyama, M., & Tsuda, K. (2009). Link propagation: A fast semi-supervised learning algorithm for link prediction. In Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics 133 (pp. 1093-1104). (Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics; Vol. 3).

    Link propagation : A fast semi-supervised learning algorithm for link prediction. / Kashima, Hisashi; Kato, Tsuyoshi; Yamanishi, Yoshihiro; Sugiyama, Masashi; Tsuda, Koji.

    Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics 133. 2009. p. 1093-1104 (Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics; Vol. 3).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Kashima, H, Kato, T, Yamanishi, Y, Sugiyama, M & Tsuda, K 2009, Link propagation: A fast semi-supervised learning algorithm for link prediction. in Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics 133. Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics, vol. 3, pp. 1093-1104, 9th SIAM International Conference on Data Mining 2009, SDM 2009, Sparks, NV, United States, 4/30/09.
    Kashima H, Kato T, Yamanishi Y, Sugiyama M, Tsuda K. Link propagation: A fast semi-supervised learning algorithm for link prediction. In Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics 133. 2009. p. 1093-1104. (Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics).
    Kashima, Hisashi ; Kato, Tsuyoshi ; Yamanishi, Yoshihiro ; Sugiyama, Masashi ; Tsuda, Koji. / Link propagation : A fast semi-supervised learning algorithm for link prediction. Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics 133. 2009. pp. 1093-1104 (Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics).
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