| 1 |
Amado Olivo, V., Kerzendorf, W., Lu, B., Shields, J. V., Flörs, A., and Chen, N. (2025). Practical author name disambiguation under metadata constraints: A contrastive learning approach for astronomy literature. PASP, 137(12):124503.
|
|
| 2 |
Bagga, A. and Baldwin, B. (1998). Entity-based cross-document coreferencing using the vector space model. In 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, Volume 1, pages 79-85. Association for Computational Linguistics.
|
|
| 3 |
Cappelli, F., Colavizza, G., and Peroni, S. (2025). Deep learning approaches to author name disambiguation: A survey. IJDL, 26(4):21.
|
|
| 4 |
Chen, B., Zhang, J., Zhang, F., Han, T., Cheng, Y., Li, X., Dong, Y., and Tang, J. (2023). Web-scale academic name disambiguation: The whoiswho benchmark, leaderboard, and toolkit. In KDD ’23, pages 3817-3828. ACM.
|
|
| 5 |
Chen, T., Kornblith, S., Norouzi, M., and Hinton, G. (2020). A simple framework for contrastive learning of visual representations. In 37th International Conference on Machine Learning, volume 119, pages 1597-1607. PMLR.
|
|
| 6 |
Cheng, Y., Chen, B., Zhang, F., and Tang, J. (2024). BOND: Bootstrapping from-scratch name disambiguation with multi-task promoting. In ACM Web Conference 2024, pages 4216-4226. ACM.
|
|
| 7 |
Cota, R. G., Gonçalves, M. A., and Laender, A. H. F. (2007). A heuristic-based hierarchical clustering method for author name disambiguation in digital libraries. In Anais do XXII SBBD, pages 20-34. SBC.
|
|
| 8 |
De Bonis, M., Falchi, F., and Manghi, P. (2023). Graph-based methods for author name disambiguation: a survey. PeerJ Computer Science, 9:e1536.
|
|
| 9 |
Elliott, S. (2010). Survey of author name disambiguation: 2004 to 2010. LPP, 443.
|
|
| 10 |
Ferreira, A. A., Gonçalves, M. A., and Laender, A. H. (2012). A brief survey of automatic methods for author name disambiguation. SIGMOD Rec., 41(2):15-26.
|
|
| 11 |
Ferreira, A. A., Gonçalves, M. A., and Laender, A. H. F. (2020). Automatic Disambiguation of Author Names in Bibliographic Repositories. Springer International Publishing.
|
|
| 12 |
Han, H., Giles, L., Zha, H., Li, C., and Tsioutsiouliklis, K. (2004). Two supervised learning approaches for name disambiguation in author citations. In JCDL ’04, page 296-305. ACM.
|
|
| 13 |
Huang, J., Ertekin, S., and Giles, C. L. (2006). Efficient name disambiguation for large-scale databases. In Knowledge Discovery in Databases: PKDD 2006, pages 536-544. Springer Berlin Heidelberg.
|
|
| 14 |
Huang, Z., Zhang, H., Hao, C., Yang, H., and Wu, H. (2024). A cross-domain transfer learning model for author name disambiguation on heterogeneous graph with pretrained language model. Knowledge-Based Systems, 305:112624.
|
|
| 15 |
Hubert, L. and Arabie, P. (1985). Comparing partitions. Journal of Classification, 2(1):193-218.
|
|
| 16 |
Hussain, I. and Asghar, S. (2017). A survey of author name disambiguation techniques: 2010-2016. The Knowledge Engineering Review, 32:e22.
|
|
| 17 |
Levin, F. H. and Heuser, C. A. (2009). Evaluating the use of social networks in author name disambiguation in digital libraries. In Anais do XXIV SBBD, pages 46-60. SBC.
|
|
| 18 |
Liu, D., Zhang, R., Chen, J., and Chen, X. (2024). Author name disambiguation via paper association refinement and compositional contrastive embedding. In WWW ’24, page 2193-2203. ACM.
|
|
| 19 |
Ma, X., Wang, R., and Zhang, Y. (2019). Author name disambiguation in heterogeneous academic networks. In WISA, pages 126-137. Springer International Publishing.
|
|
| 20 |
Mikolov, T., Chen, K., Corrado, G. S., and Dean, J. (2013). Efficient estimation of word representations in vector space. In ICLR (Workshop Poster) 2013.
|
|
| 21 |
Pooja, K., Mondal, S., and Chandra, J. (2022). Exploiting higher order multi-dimensional relationships with self-attention for author name disambiguation. TKDD, 16(5).
|
|
| 22 |
Rehs, A. (2021). A supervised machine learning approach to author disambiguation in the web of science. Journal of Informetrics, 15(3):101166.
|
|
| 23 |
Rodrigues, N. S., Mariano, A. M., and Ralha, C. G. (2024). Author name disambiguation literature review with consolidated meta-analytic approach. IJDL, 25(4):765-785.
|
|
| 24 |
Wang, C., Pan, S., Hu, R., Long, G., Jiang, J., and Zhang, C. (2019). Attributed graph clustering: a deep attentional embedding approach. In IJCAI-19, pages 3670-3676.
|
|
| 25 |
Wang, H., Wan, R., Wen, C., Li, S., Jia, Y., Zhang, W., and Wang, X. (2020). Author name disambiguation on heterogeneous information network with adversarial representation learning. In AAAI-20, volume 34, pages 238-245.
|
|
| 26 |
Xie, W., Liu, S., Wang, X., and Jia, T. (2022). Author name disambiguation via heterogeneous network embedding from structural and semantic perspectives. In ICTAI 2022, pages 245-250.
|
|
| 27 |
Ye, F., Xia, Z., Ling, Z., and Wu, L. (2025). Multi-view contrastive and cluster-guided learning for author name disambiguation. Expert Systems with Applications, 289:128324.
|
|
| 28 |
Yu, J., Ge, Q., Li, X., and Zhou, A. (2024). Heterogeneous graph contrastive learning with meta-path contexts and adaptively weighted negative samples. IEEE Transactions on Knowledge and Data Engineering, 36(10):5181-5193.
|
|
| 29 |
Zhang, Y., Zhang, F., Yao, P., and Tang, J. (2018). Name disambiguation in AMiner: Clustering, maintenance, and human in the loop. In KDD ’18, pages 1002-1011. ACM.
|
|
| 30 |
Zheng, X., Zhang, P., Cui, Y., Du, R., and Zhang, Y. (2021). Dual-channel heterogeneous graph network for author name disambiguation. Information, 12:383.
|
|
| 31 |
Zhou, A., Shi, M., and Yuan, R. (2024a). An effective author name disambiguation framework for large-scale publications. IEEE Access, 12:182086-182100.
|
|
| 32 |
Zhou, Q., Chen, W., Zhao, P.-P., Liu, A., Xu, J.-J., Qu, J.-F., and Zhao, L. (2024b). Towards effective author name disambiguation by hybrid attention. JCST, 39(4):929-950.
|
|