Citation Recommendation Based on Knowledge Graph and Multi-task Learning
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-40289-0_31
Reference34 articles.
1. Ali, Z., Ullah, I., Khan, A., Ullah Jan, A., Muhammad, K.: An overview and evaluation of citation recommendation models. Scientometrics 126(5), 4083–4119 (2021). https://doi.org/10.1007/s11192-021-03909-y
2. Altaf, B., Akujuobi, U., Yu, L., Zhang, X.: Dataset recommendation via variational graph autoencoder. In: 2019 IEEE International Conference on Data Mining (ICDM), pp. 11–20. IEEE, New York (2019)
3. Bai, X., Wang, M., Lee, I., Yang, Z., Kong, X., Xia, F.: Scientific paper recommendation: a survey. IEEE Access 7, 9324–9339 (2019)
4. Bhagavatula, C., Feldman, S., Power, R., Ammar, W.: Content-based citation recommendation. In: Proceedings of NAACL, pp. 238–251. Association for Computational Linguistics, Stroudsburg (2018)
5. Caruana, R.: Multitask learning. Mach. Learn. 28(1), 41–75 (1997)
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