2020.11

  • 应用知识图谱的推荐方法与系统.自动化学报 2020 paper bib 饶子**昀,张毅,刘俊涛,曹万华**
  • 基于知识图谱的推荐系统研究综述.中国科学:信息科学 2020 paper bib 秦川,祝恒书,庄福振,郭庆宇,张琦,张乐,王超,陈恩红,熊辉.
  • A Survey on Knowledge Graph-Based Recommender Systems. arXiv 2020 paper bib Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He

  • [x] A Survey on Knowledge Graph-Based Recommender Systems. arXiv 2020 paper bib Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He

    2020.12

  • [ ] Survey on Domain Knowledge Graph Research. 计算机系统应用 2020 paper bib 刘烨宸, 李华昱

  • A Survey on Knowledge Graphs: Representation, Acquisition and Applications. arXiv 2020 paper bib Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S. Yu
  • A Survey on Graph Neural Networks for Knowledge Graph Completion. arXiv 2020 paper bib Siddhant Arora
  • Knowledge Graphs. arXiv 2020 paper bib Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d’Amato, Gerard de Melo, Claudio Gutierrez, José Emilio Labra Gayo, Sabrina Kirrane, Sebastian Neumaier, Axel Polleres, Roberto Navigli, Axel-Cyrille Ngonga Ngomo, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan F. Sequeda, Steffen Staab, Antoine Zimmermann
  • A survey of techniques for constructing chinese knowledge graphs and their applications. Sustainability 2018 paper bib Tianxing Wu, Guilin Qi, Cheng Li, Meng Wang
  • Knowledge Graph Embedding for Link Prediction: A Comparative Analysis. arXiv 2016 paper bib Andrea Rossi, Donatella Firmani, Antonio Matinata, Paolo Merialdo, Denilson Barbosa
  • Knowledge Graph Embedding: A Survey of Approaches and Applications. IEEE 2017 paper bib Quan Wang, Zhendong Mao, Bin Wang, Li Guo
  • A review on deep learning for recommender systems: challenges and remedies. Artificial Intelligence Review 2019 paper bib Zeynep Batmaz, Ali Yurekli, Alper Bilge, Cihan Kaleli
  • Adversarial Machine Learning in Recommender Systems:State of the art and Challenges. arXiv 2020 paper bib Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
  • Cross Domain Recommender Systems: A Systematic Literature Review. ACM Computing Surveys 2017 paper bib Muhammad Murad Khan,Roliana Ibrahim,Imran Ghani
  • Deep Learning based Recommender System: A Survey and New Perspectives. ACM Computing Surveys 2019 paper bib Shuai Zhang, Lina Yao, Aixin Sun, Yi Tay
  • Deep Learning on Knowledge Graph for Recommender System: A Survey. arXiv 2020 paper bib Yang Gao, Yi-Fan Li, Yu Lin, Hang Gao, Latifur Khan
  • Explainable Recommendation: A Survey and New Perspectives. Foundations and Trends in Information Retrieval 2020 paper bib Yongfeng Zhang, Xu Chen
  • Sequence-Aware Recommender Systems. ACM Computing Surveys 2018 paper bib Massimo Quadrana,Paolo Cremonesi,Dietmar Jannach
  • Trust in Recommender Systems: A Deep Learning Perspective. arxiv 2020 paper bib Manqing Dong, Feng Yuan, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu
  • Use of Deep Learning in Modern Recommendation System: A Summary of Recent Works. International Journal of Computer Applications 2017 paper bib Ayush Singhal, Pradeep Sinha, Rakesh Pant