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Bibliographic Name Disambiguation with Graph Convolutional Network

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Web Information Systems Engineering – WISE 2019 (WISE 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11881))

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Abstract

Name disambiguation, which aims to distinguish real-life person from documents associated with a same reference by partition the documents, has received extensive concern in many intelligent tasks, e.g., information retrieval, bibliographic data analysis and mining system. Existing methods implement name disambiguation utilizing linkage information or biographical feature, however, only a few work try to combine them effectively. In this paper, we propose a novel model that incorporates structural information and attribute features based on the Graph Convolutional Network to learn discriminating embedding, and achieves individual distinction by equipping a hierarchical clustering algorithm. We evaluate the proposed model on real-world academic networks Aminer, and experimental results show that the proposed method is competitive with the state-of-the-art methods.

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Notes

  1. 1.

    http://dblp.uni-trier.de.

  2. 2.

    http://citeseerx.ist.psu.edu.

  3. 3.

    http://www.aminer.cn.

  4. 4.

    https://github.com/mstrosaker/hclust.

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Acknowledgements

This work is supported in part by National Key R&D Program of China 2017YFB0803305, NSFC 61772151&61872022, Beijing Advanced Innovation Center for Big Data and Brain Computing.

Author information

Authors and Affiliations

  1. Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, China

    Hao Yan, Hao Peng, Chen Li & Jianxin Li

  2. State Key Laboratory of Software Development Environment, Beihang University, Beijing, China

    Hao Yan, Hao Peng, Chen Li & Jianxin Li

  3. National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China

    Lihong Wang

Authors
  1. Hao Yan
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  2. Hao Peng
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  3. Chen Li
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  4. Jianxin Li
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  5. Lihong Wang
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Corresponding author

Correspondence to Hao Yan .

Editor information

Editors and Affiliations

  1. University of Hong Kong, Hong Kong SAR, China

    Reynold Cheng

  2. University of Ioannina, Ioannina, Greece

    Nikos Mamoulis

  3. University of California, Los Angeles, CA, USA

    Yizhou Sun

  4. Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China

    Xin Huang

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Yan, H., Peng, H., Li, C., Li, J., Wang, L. (2019). Bibliographic Name Disambiguation with Graph Convolutional Network. In: Cheng, R., Mamoulis, N., Sun, Y., Huang, X. (eds) Web Information Systems Engineering – WISE 2019. WISE 2020. Lecture Notes in Computer Science(), vol 11881. Springer, Cham. https://doi.org/10.1007/978-3-030-34223-4_34

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  • DOI: https://doi.org/10.1007/978-3-030-34223-4_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34222-7

  • Online ISBN: 978-3-030-34223-4

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