A collection of knowledge graph for recommender system papers, codes, and reading notes.
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Knowledge Graph for Recommendation Prediction:
- Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preference WWW, 2019. Yixin Cao, Xiang Wang, Xiangnan He, Zikun Hu, Tat-Seng Chua. [Github Code]
- A comprehensive survey of graph embedding:problems, techniques and applications[J]. IEEE Transactions on Knowledge and Data Engineering, 2018. Cai H, Zheng V W, Chang K.
- Learning over Knowledge-Base Embeddings for Recommendation[J]. arXiv preprint arXiv:1803.06540, 2018. Zhang Y, Ai Q, Chen X, et al.
- Ripple Network: Propagating User Preferences on the Knowledge Graph for Recommender Systems[J]. arXiv preprint arXiv:1803.03467, 2018. Wang H, Zhang F, Wang J, et al. [Github Code]
- KGAT: Knowledge Graph Attention Network for Recommendation KDD, 2019. Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu and Tat-Seng Chua. [Github Code]
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Knowledge Graph for Explanable Recommendation:
- Explainable Reasoning over Knowledge Graphs for Recommendation[J]. AAAI, 2019. Wang X, Wang D, Xu C, et al. [Github Code]
- Interaction Embeddings for Prediction and Explanation in Knowledge Graphs WSDM, 2019. W Zhang, B Paudel, W Zhang, A Bernstein, et al. [Github Code]
- Jointly Learning Explainable Rules for Recommendation with Knowledge Graph arXiv preprint arXiv:1903.03714, 2019. W Ma, M Zhang, Y Cao, C Wang, Y Liu, S Ma, et al.
- Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation WWW, 2019. ang, Hongwei, Fuzheng Zhang, Miao Zhao, Wenjie Li, Xing Xie, and Minyi Guo. [Github Code]
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Blog References: