KMPR-AEP: Knowledge-Enhanced Multi-task Parallelized Recommendation Algorithm Incorporating Attention-Embedded Propagation
Author:
Funder
the National Key R&D Program of China
the Horizontal Research Project
the Fundamental Research Funds for the Central Universities
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s44196-024-00625-2.pdf
Reference61 articles.
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2. Wang, H., Zhao, M., Xie, X., Li, W., Guo, M.: Knowledge graph convolutional networks for recommender systems. In: The World Wide Web Conference, pp. 3307–3313 (2019). https://doi.org/10.1145/3308558.3313417
3. Wang, H., Zhang, F., Wang, J., Zhao, M., Li, W., Xie, X., Guo, M.: RippleNet: propagating user preferences on the knowledge graph for recommender systems. In: Proceedings of the 27th ACM International Conference on Information and Knowledge Management, pp. 417–426 (2017). https://doi.org/10.1145/3269206.3271739
4. Zhao, L., Li, Z., Al-Dubai, A., Min, G., Li, J., Hawbani, A., Zomaya, A.: A novel prediction-based temporal graph routing algorithm for software-defined vehicular networks. IEEE Trans. Intell. Transp. Syst. 23, 13275–13290 (2022). https://doi.org/10.1109/TITS.2021.3123276
5. Zhao, L., Zheng, T., Lin, M., Hawbani, A., Shang, J., Fan, C.: SPIDER: a social computing inspired predictive routing scheme for softwarized vehicular networks. IEEE Trans. Intell. Transp. Syst. 23, 9466–9477 (2022). https://doi.org/10.1109/TITS.2021.3122438
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