表示学习小组
综述
- Representation Learning: A Review and New Perspectives. Yoshua Bengio, Aaron Courville, and Pascal Vincent. TPAMI 2013. paper
- 知识表示学习研究进展. 刘知远,孙茂松,林衍凯,谢若冰. 计算机研究与发展 2016. paper
- A Review of Relational Machine Learning for Knowledge Graphs. Maximilian Nickel, Kevin Murphy, Volker Tresp, Evgeniy Gabrilovich. Proceedings of the IEEE 2016. paper
- Knowledge Graph Embedding: A Survey of Approaches and Applications. Quan Wang, Zhendong Mao, Bin Wang, Li Guo. TKDE 2017. paper
基于翻译模型
- TransE: Translating Embeddings for Modeling Multi-relational Data. Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, Oksana Yakhnenko. NIPS 2013. paper
- TransH: Knowledge Graph Embedding by Translating on Hyperplanes. Zhen Wang, Jianwen Zhang, Jianlin Feng, Zheng Chen. AAAI 2014. paper
- TransR & CTransR: Learning Entity and Relation Embeddings for Knowledge Graph Completion. Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu. AAAI 2015. paper
- TransD: Knowledge Graph Embedding via Dynamic Mapping Matrix. Guoliang Ji, Shizhu He, Liheng Xu, Kang Liu, Jun Zhao. ACL 2015. paper
- TransA: An Adaptive Approach for Knowledge Graph Embedding. Han Xiao, Minlie Huang, Hao Yu, Xiaoyan Zhu. arXiv 2015. paper
- TranSparse: Knowledge Graph Completion with Adaptive Sparse Transfer Matrix. Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao. AAAI 2016. paper
- TransG: A Generative Mixture Model for Knowledge Graph Embedding. Han Xiao, Minlie Huang, Xiaoyan Zhu. ACL 2016 paper
- KG2E: Learning to Represent Knowledge Graphs with Gaussian Embedding. Shizhu He, Kang Liu, Guoliang Ji and Jun Zhao. CIKM 2015. paper
基于关系路径
- PTransE: Modeling Relation Paths for Representation Learning of Knowledge Bases. Yankai Lin, Zhiyuan Liu, Huanbo Luan, Maosong Sun, Siwei Rao, Song Liu. EMNLP 2015. paper
- Traversing Knowledge Graphs in Vector Space. Kelvin Guu, John Miller, Percy Liang. EMNLP 2015. paper
- Knowledge Graph Embedding with Hierarchical Relation Structure. Zhao Zhang, Fuzhen Zhuang, Meng Qu, Fen Lin, Qing He. ACL 2018. paper
- TransRHS: A Representation Learning Method for Knowledge Graphs with Relation Hierarchical Structure. Fuxiang Zhang, Xin Wang, Zhao Li, Jianxin Li. IJCAI 2020. paper
实体类型方向
- Type-Constrained Representation Learning in Knowledge Graphs. Denis Krompa, Stephan Baier, Volker Tresp. The Semantic Web - ISWC 2015. paper
- TKRL: Representation Learning of Knowledge Graphs with Hierarchical Types. Ruobing Xie, Zhiyuan Liu, Maosong Sun. IJCAI 2016. paper code
- KR-EAR: Knowledge Representation Learning with Entities, Attributes and Relations. Yankai Lin, Zhiyuan Liu, Maosong Sun. IJCAI 201. paper code
- Differentiating Concepts and Instances for Knowledge Graph Embedding. Xin Lv, Lei Hou, Juanzi Li, Zhiyuan Liu. EMNLP 2018. paper code
- AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding. Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu, Jingyang Li. EMNLP 2020. paper