Difference between revisions of "表示学习小组"
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# A Review of Relational Machine Learning for Knowledge Graphs. ''Maximilian Nickel, Kevin Murphy, Volker Tresp, Evgeniy Gabrilovich''. Proceedings of the IEEE 2016. [https://arxiv.org/pdf/1503.00759.pdf paper] | # A Review of Relational Machine Learning for Knowledge Graphs. ''Maximilian Nickel, Kevin Murphy, Volker Tresp, Evgeniy Gabrilovich''. Proceedings of the IEEE 2016. [https://arxiv.org/pdf/1503.00759.pdf paper] | ||
# Knowledge Graph Embedding: A Survey of Approaches and Applications. ''Quan Wang, Zhendong Mao, Bin Wang, Li Guo''. TKDE 2017. [http://ieeexplore.ieee.org/abstract/document/8047276/ paper] | # Knowledge Graph Embedding: A Survey of Approaches and Applications. ''Quan Wang, Zhendong Mao, Bin Wang, Li Guo''. TKDE 2017. [http://ieeexplore.ieee.org/abstract/document/8047276/ paper] | ||
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| + | '''Journal and Conference papers'''</br> | ||
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| + | # TransE: Translating Embeddings for Modeling Multi-relational Data. ''Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, Oksana Yakhnenko''. NIPS 2013. [http://papers.nips.cc/paper/5071-translating-embeddings-for-modeling-multi-relational-data.pdf paper] | ||
| + | # TransH: Knowledge Graph Embedding by Translating on Hyperplanes. ''Zhen Wang, Jianwen Zhang, Jianlin Feng, Zheng Chen''. AAAI 2014. [http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/viewFile/8531/8546 paper] | ||
| + | # TransR & CTransR: Learning Entity and Relation Embeddings for Knowledge Graph Completion. ''Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu''. AAAI 2015. [http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/download/9571/9523/ paper] | ||
| + | # TransD: Knowledge Graph Embedding via Dynamic Mapping Matrix. ''Guoliang Ji, Shizhu He, Liheng Xu, Kang Liu, Jun Zhao''. ACL 2015. [http://anthology.aclweb.org/P/P15/P15-1067.pdf paper] | ||
| + | # TransA: An Adaptive Approach for Knowledge Graph Embedding. ''Han Xiao, Minlie Huang, Hao Yu, Xiaoyan Zhu''. [https://arxiv.org/pdf/1509.05490.pdf paper] | ||
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| + | # KG2E: Learning to Represent Knowledge Graphs with Gaussian Embedding. ''Shizhu He, Kang Liu, Guoliang Ji and Jun Zhao''. CIKM 2015. [https://pdfs.semanticscholar.org/941a/d7796cb67637f88db61e3d37a47ab3a45707.pdf paper] | ||
Revision as of 14:01, 10 November 2020
Survey papers
- 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
Journal and Conference papers
- 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. paper
- KG2E: Learning to Represent Knowledge Graphs with Gaussian Embedding. Shizhu He, Kang Liu, Guoliang Ji and Jun Zhao. CIKM 2015. paper
