标题/作者	年份
Kgat: Knowledge graph attention network for recommendation X Wang, X He, Y Cao, M Liu, TS Chua Proceedings of the 25th ACM SIGKDD international conference on knowledge …	2019
Explainable reasoning over knowledge graphs for recommendation X Wang, D Wang, C Xu, X He, Y Cao, TS Chua Proceedings of the AAAI conference on artificial intelligence 33 (01), 5329-5336	2019
Are we really making much progress? A worrying analysis of recent neural recommendation approaches M Ferrari Dacrema, P Cremonesi, D Jannach Proceedings of the 13th ACM conference on recommender systems, 101-109	2019
A survey on knowledge graph-based recommender systems Q Guo, F Zhuang, C Qin, H Zhu, X Xie, H Xiong, Q He IEEE Transactions on Knowledge and Data Engineering 34 (8), 3549-3568	2020
Knowledge-aware graph neural networks with label smoothness regularization for recommender systems H Wang, F Zhang, M Zhang, J Leskovec, M Zhao, W Li, Z Wang Proceedings of the 25th ACM SIGKDD international conference on knowledge …	2019
Learning intents behind interactions with knowledge graph for recommendation X Wang, T Huang, D Wang, Y Yuan, Z Liu, X He, TS Chua Proceedings of the web conference 2021, 878-887	2021
A troubling analysis of reproducibility and progress in recommender systems research M Ferrari Dacrema, S Boglio, P Cremonesi, D Jannach ACM Transactions on Information Systems (TOIS) 39 (2), 1-49	2021
Relational collaborative filtering: Modeling multiple item relations for recommendation X Xin, X He, Y Zhang, Y Zhang, J Jose Proceedings of the 42nd international ACM SIGIR conference on research and …	2019
Research commentary on recommendations with side information: A survey and research directions Z Sun, Q Guo, J Yang, H Fang, G Guo, J Zhang, R Burke Electronic Commerce Research and Applications 37, 100879	2019
Reinforced negative sampling over knowledge graph for recommendation X Wang, Y Xu, X He, Y Cao, M Wang, TS Chua Proceedings of the web conference 2020, 99-109	2020
CKAN: Collaborative knowledge-aware attentive network for recommender systems Z Wang, G Lin, H Tan, Q Chen, X Liu Proceedings of the 43rd International ACM SIGIR conference on research and …	2020
Graph learning based recommender systems: A review S Wang, L Hu, Y Wang, X He, QZ Sheng, MA Orgun, L Cao, F Ricci, ... arXiv preprint arXiv:2105.06339	2021
Are we evaluating rigorously? benchmarking recommendation for reproducible evaluation and fair comparison Z Sun, D Yu, H Fang, J Yang, X Qu, J Zhang, C Geng Proceedings of the 14th ACM Conference on Recommender Systems, 23-32	2020
Exploring high-order user preference on the knowledge graph for recommender systems H Wang, F Zhang, J Wang, M Zhao, W Li, X Xie, M Guo ACM Transactions on Information Systems (TOIS) 37 (3), 1-26	2019
Explainable interaction-driven user modeling over knowledge graph for sequential recommendation X Huang, Q Fang, S Qian, J Sang, Y Li, C Xu proceedings of the 27th ACM international conference on multimedia, 548-556	2019
A survey on accuracy-oriented neural recommendation: From collaborative filtering to information-rich recommendation L Wu, X He, X Wang, K Zhang, M Wang IEEE Transactions on Knowledge and Data Engineering 35 (5), 4425-4445	2022
Leveraging demonstrations for reinforcement recommendation reasoning over knowledge graphs K Zhao, X Wang, Y Zhang, L Zhao, Z Liu, C Xing, X Xie Proceedings of the 43rd international ACM SIGIR conference on research and …	2020
A survey of graph neural networks for recommender systems: Challenges, methods, and directions C Gao, Y Zheng, N Li, Y Li, Y Qin, J Piao, Y Quan, J Chang, D Jin, X He, ... ACM Transactions on Recommender Systems 1 (1), 1-51	2023
Knowledge graph fusion for smart systems: A survey HL Nguyen, DT Vu, JJ Jung Information Fusion 61, 56-70	2020
Jointly non-sampling learning for knowledge graph enhanced recommendation C Chen, M Zhang, W Ma, Y Liu, S Ma Proceedings of the 43rd International ACM SIGIR Conference on Research and …	2020

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