Studying the Impact of Edge Privacy on Link Prediction in Temporal Graphs
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-68208-7_15
Reference18 articles.
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3. De, A., Chakrabarti, S.: Differentially private link prediction with protected connections. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, pp. 63–71 (2021)
4. Hay, M., Li, C., Miklau, G., Jensen, D.: Accurate estimation of the degree distribution of private networks. In: 2009 Ninth IEEE International Conference on Data Mining, pp. 169–178. IEEE (2009)
5. Li, T., Zhang, J., Philip, S.Y., Zhang, Y., Yan, Y.: Deep dynamic network embedding for link prediction. IEEE Access 6, 29219–29230 (2018)
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