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THS-GWNN: a deep learning framework for temporal network link prediction

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Acknowledgements

This work has been supported by Chongqing Graduate Student Research and Innovation Project (CYB19096), the China Scholarship Council (202006990041), the Fundamental Research Funds for the Central Universities (XDJK2020D021), the Capacity Development Grant of Southwest University (SWU116007), and the National Natural Science Foundation of China (Grant Nos. 61672435, 61732019, 61811530327)

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Authors and Affiliations

  1. College of Computer & Information Science, Southwest University, Chongqing, 400715, China

    Xian Mo & Zhiming Liu

  2. Faculty of Science, Technology and Medicine & Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Esch-sur-Alzette, L-4364, Luxembourg

    Jun Pang

Authors
  1. Xian Mo
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  2. Jun Pang
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  3. Zhiming Liu
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Corresponding author

Correspondence to Zhiming Liu.

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Mo, X., Pang, J. & Liu, Z. THS-GWNN: a deep learning framework for temporal network link prediction. Front. Comput. Sci. 16, 162304 (2022). https://doi.org/10.1007/s11704-020-0092-z

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  • DOI: https://doi.org/10.1007/s11704-020-0092-z

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