Link Prediction Using Graph Neural Networks for Recommendation Systems
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-43520-1_24
Reference25 articles.
1. Lakshmi, T.J., Bhavani, S.D.: Link prediction approach to recommender systems (2012). https://doi.org/10.48550/arxiv.2102.09185
2. Zhang, S., Tong, H., Xu, J., Maciejewski, R.: Graph convolutional networks: a comprehensive review. Comput. Soc. Netw. 6(1), 1–23 (2019). https://doi.org/10.1186/S40649-019-0069-Y/FIGURES/1
3. Shafqat, W,. Byun, Y.C.: Enabling untact culture via online product recommendations: an optimized graph-CNN based approach. Appl. Sci. 10(16), 5445 (2020 ). https://doi.org/10.3390/APP10165445
4. Daud, N.N., Ab Hamid, S.H., Saadoon, M., Sahran, F., Anuar, N.B.: Applications of link prediction in social networks: a review. J. Netw. Comput. Appl. 166, 102716 (2020). https://doi.org/10.1016/J.JNCA.2020.102716
5. Mutlu, E.C., Oghaz, T., Rajabi, A., Garibay, I.: Review on learning and extracting graph features for link prediction. Mach. Lear. Knowl. Extr. 2(4), 672−704 (2020). https://doi.org/10.3390/MAKE2040036
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