Multi-space interaction learning for disentangled knowledge-aware recommendation
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Published:2024-11
Issue:
Volume:254
Page:124458
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ISSN:0957-4174
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Container-title:Expert Systems with Applications
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language:en
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Short-container-title:Expert Systems with Applications
Author:
Li Kaibei, Zhang YihaoORCID, Zhu Junlin, Li Xiaokang, Wang Xibin
Reference46 articles.
1. Constant curvature graph convolutional networks;Bachmann,2020 2. Cao, Z., Xu, Q., Yang, Z., Cao, X., & Huang, Q. (2022). Geometry interaction knowledge graph embeddings. Vol. 36, In Proceedings of the AAAI conference on artificial intelligence (pp. 5521–5529). 3. Meta-relation assisted knowledge-aware coupled graph neural network for recommendation;Chang;Information Processing & Management,2023 4. IHG4MR: Interest-oriented heterogeneous graph for multirelational recommendation;Chang;Expert Systems with Applications,2023 5. Chen, Y., Yang, M., Zhang, Y., Zhao, M., Meng, Z., Hao, J., et al. (2022). Modeling scale-free graphs with hyperbolic geometry for knowledge-aware recommendation. In Proceedings of the fifteenth ACM international conference on web search and data mining (pp. 94–102).
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