Must-read papers on KG/KG4Rec

Knowledge-aware recommendation papers.

Survey papers:

1. Personalized Entity Recommendation: A Heterogeneous Information Network Approach. Xiao Yu, et al. WSDM, 2014. paper

2. Collaborative Knowledge Base Embedding for Recommender Systems. Fuzheng Zhang, et al. KDD, 2016. paper

3. RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems. Wang Hongwei, et al. CIKM, 2018. paper

4. DKN: Deep knowledge-aware network for news recommendation. Wang Hongwei, et al. WWW, 2018. paper

5. Improving sequential recommendation with knowledge-enhanced memory networks. Huang Jin, et al. SIGIR, 2018. paper

6. Learning over Knowledge-Base Embeddings for Recommendation. Zhang Yongfeng, et al. SIGIR, 2018. paper

7. Explainable Reasoning over Knowledge Graphs for Recommendation. Wang Xiang, et al. AAAI, 2019. paper

8. Explainable Recommendation Through Attentive Multi-View Learning. Gao Jingyue, et al. AAAI, 2019. paper

9. Taxonomy-aware multi-hop reasoning networks for sequential recommendation. Huang Jin, et al. WSDM, 2019. paper

10. Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. Cao Yixin, et al. WWW, 2019. paper

11. Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation. Wang Hongwei, et al. WWW, 2019 paper code

12. Adversarial Distillation for Efficient Recommendation with External Knowledge. Chen Xu, et al. TOIS, 2018 paper

13. Knowledge Graph Convolutional Networks for Recommender Systems. Wang Hongwei, et al. WWWW, 2019 paper

14. Dynamic Explainable Recommendation based on Neural Attentive Models. Chen Xu, et al. AAAI, 2019 paper

15. Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization. Wang Hongwei, et al. KDD, 2019 paper

16. KGAT: Knowledge Graph Attention Network for Recommendation. Wang Xiang, et al. KDD, 2019 paper code

17. Reinforcement Knowledge Graph Reasoning for Explainable Recommendation. Xian Yikun and Fu, Zuohui, et al. SIGIR, 2019 paper

18. Conceptualize and Infer User Needs in E-commerce. Luo Xusheng, et al. CIKM, 2019 paper

19. Attentive Knowledge Graph Embedding for Personalized Recommendation. Xiao Sha arXiv, 2019 paper

20. Towards Knowledge-Based Recommender Dialog System. Qibin Chen, Jie Tang, et al. EMNLP, 2019 paper code

21. KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation. Pengfei Wang, Yu Fan, Long Xia, Wayne Xin Zhao, et al. SIGIR, 2020

22. ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation Yufei Feng, Binbin Hu, Fuyu Lv, et al. SIGIR, 2020

Tutorials:

1. Challenges and Innovations in Building a Product Knowledge Graph. slides

2. 基于知识的推荐与可解释推荐. slides

Open Sources:

1. KGEebedding

Datasets:

1. KB4REC

Personal sites:

1. Hongwei Wang

2. Xing Xie

3. Yongfeng Zhang

4. Xiangnan He

5. Unknown