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All Projects → THU-KEG → Entity_alignment_papers

THU-KEG / Entity_alignment_papers

Must-read papers on entity alignment published in recent years

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Entity Alignment Papers

This is a repo listing some must-read papers on Entity Alignment published in recent years, mainly contributed by Chengjiang Li and Zequn Sun.

Conference papers (methods):

  1. JE: "A Joint Embedding Method for Entity Alignment of Knowledge Bases". Yanchao Hao, Yuanzhe Zhang, Shizhu He, Kang Liu, Jun Zhao. (CCKS 2016) [paper][code]

  2. MTransE: "Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment". Muhao Chen, Yingtao Tian, Mohan Yang, Carlo Zaniolo. (IJCAI 2017) [paper][code]

  3. JAPE: "Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding". Zequn Sun, Wei Hu, Chengkai Li. (ISWC 2017) [paper][code]

  4. IPTransE: "Iterative Entity Alignment via Joint Knowledge Embeddings". Hao Zhu, Ruobing Xie, Zhiyuan Liu, Maosong Sun. (IJCAI 2017) [paper][code]

  5. BootEA: "Bootstrapping Entity Alignment with Knowledge Graph Embedding". Zequn Sun, Wei Hu, Qingheng Zhang, Yuzhong Qu. (IJCAI 2018) [paper][code]

  6. KDCoE: "Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment". Muhao Chen, Yingtao Tian, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo. (IJCAI 2018) [paper][code]

  7. NTAM: "Non-translational Alignment for Multi-relational Networks". Shengnan Li, Xin Li, Rui Ye, Mingzhong Wang, Haiping Su, Yingzi Ou. (IJCAI 2018) [paper][code]

  8. **"LinkNBed: Multi-Graph Representation Learning with Entity Linkage"."" Rakshit Trivedi, Bunyamin Sisman, Jun Ma, Christos Faloutsos, Hongyuan Zha, Xin Luna Dong (ACL 2018) [paper]

  9. GCN-Align: "Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks". Zhichun Wang, Qingsong Lv, Xiaohan Lan, Yu Zhang. (EMNLP 2018) [paper][code]

  10. AttrE: "Entity Alignment between Knowledge Graphs Using Attribute Embeddings". Bayu D. Trsedya, Jianzhong Qi, Rui Zhang. (AAAI 2019) [paper][code]

  11. SEA: "Semi-Supervised Entity Alignment via Knowledge Graph Embedding with Awareness of Degree Difference". Shichao Pei, Lu Yu, Robert Hoehndorf, Xiangliang Zhang. (WWW 2019) [paper][code]

  12. RSN4EA: "Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs". Lingbing Guo, Zequn Sun, Wei Hu. (ICML 2019) [paper][code]

  13. MuGNN: "Multi-Channel Graph Neural Network for Entity Alignment". Yixin Cao, Zhiyuan Liu, Chengjiang Li, Zhiyuan Liu, Juanzi Li, Tat-Seng Chua. (ACL 2019) [paper][code]

  14. GMNN: "Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network". Kun Xu, Liwei Wang, Mo Yu, Yansong Feng, Yan Song, Zhiguo Wang, Dong Yu. (ACL 2019) [paper][code]

  15. MultiKE: "Multi-view Knowledge Graph Embedding for Entity Alignment". Qingheng Zhang, Zequn Sun, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu. (IJCAI 2019) [paper][code]

  16. RDGCN: "Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs". Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Rui Yan, Dongyan Zhao. (IJCAI 2019) [paper][code]

  17. OTEA: "Improving Cross-lingual Entity Alignment via Optimal Transport". Shichao Pei, Lu Yu, Xiangliang Zhang. (IJCAI 2019) [paper][code]

  18. NAEA: "Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs". Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo. (IJCAI 2019) [paper][code]

  19. AVR-GCN: "A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment". Rui Ye, Xin Li, Yujie Fang, Hongyu Zang, Mingzhong Wang. (IJCAI 2019) [paper][code]

  20. TransEdge: "TransEdge: Translating Relation-Contextualized Embeddings for Knowledge Graphs". Zequn Sun, Jiacheng Huang, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu. (ISWC 2019) [paper][code]

  21. KECG: "Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model". Chengjiang Li, Yixin Cao, Lei Hou, Jiaxin Shi, Juanzi Li, Tat-Seng Chua. (EMNLP 2019) [paper][code]

  22. HGCN: "Jointly Learning Entity and Relation Representations for Entity Alignment". Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Dongyan Zhao. (EMNLP 2019) [paper][code]

  23. MMEA: "Modeling Multi-mapping relations for Precise Cross-lingual Entity Alignment". Xiaofei Shi, Yanghua Xiao. (EMNLP 2019) [paper][code]

  24. HMAN: "Aligning Cross-lingual Entities with Multi-Aspect Information". Hsiu-Wei Yang, Yanyan Zou, Peng Shi, Wei Lu, Jimmy Lin, Xu Sun. (EMNLP 2019) [paper][code]

  25. AKE: "Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding". Xixun Lin, Hong Yang, Jia Wu, Chuan Zhou, Bin Wang. (ICDM 2019) [paper][code]

  26. MRAEA: "MRAEA: An Efficient and Robust Cross-lingual Entity Alignment Approach via Meta Relation Aware Representation". Xin Mao, Wenting Wang, Huimin Xu, Man Lan, Yuanbin Wu. (WSDM 2020) [paper][code]

  27. AliNet: "Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation". Zequn Sun, Chengming Wang, Wei Hu, Muhao Chen, Jian Dai, Wei Zhang, Yuzhong Qu. (AAAI 2020) [paper][code]

  28. "Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment". Kun Xu, Linfeng Song, Yansong Feng, Yan Song, Dong Yu. (AAAI 2020) [paper][code]

  29. COTSAE: "COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment". Kai Yang, Shaoqin Liu, Junfeng Zhao, Yasha Wang, Bing Xie. (AAAI 2020) [paper][code]

  30. CEAFF: "Collective Embedding-based Entity Alignment via Adaptive Features". Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin. (ICDE 2020) [paper][code]

  31. "Deep Graph Matching Consensus". Matthias Fey, Jan E. Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege. (ICLR 2020) [paper][code]

  32. CG-MuAlign: "Collective Multi-type Entity Alignment Between Knowledge Graphs". Qi Zhu, Hao Wei, Bunyamin Sisman, Da Zheng, Christos Faloutsos, Xin Luna Dong, Jiawei Han. (WWW 2020) [paper][code]

  33. JarKA: "JarKA: Modeling Attribute Interactions for Cross-lingual Knowledge Alignment". Bo Chen, Jing Zhang, Xiaobin Tang, Hong Chen, Cuiping Li. (PAKDD 2020) [paper][code]

  34. NMN: "Neighborhood Matching Network for Entity Alignment". Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Dongyan Zhao. (ACL 2020) [paper][code]

  35. BERT-INT: "BERT-INT: A BERT-based Interaction Model For Knowledge Graph Alignment". Xiaobin Tang, Jing Zhang, Bo Chen, Yang Yang, Hong Chen, Cuiping Li. (IJCAI 2020) [paper][code]

  36. SSP: "Global Structure and Local Semantics-Preserved Embeddings for Entity Alignment". Hao Nie, Xianpei Han, Le Sun, Chi Man Wong, Qiang Chen, Suhui Wu, Wei Zhang. (IJCAI 2020) [paper][code]

  37. DAT: "Degree-Aware Alignment for Entities in Tail". Weixin Zeng, Xiang Zhao, Wei Wang, Jiuyang Tang, Zhen Tan. (SIGIR 2020) [paper][code]

  38. RREA: "Relational Reflection Entity Alignment". Xin Mao, Wenting Wang, Huimin Xu, Yuanbin Wu, Man Lan. (CIKM 2020) [paper][code]

  39. REA: "REA: Robust Cross-lingual Entity Alignment Between Knowledge Graphs". Shichao Pei, Lu Yu, Guoxian Yu, Xiangliang Zhang. (KDD 2020) [paper][code]

  40. HyperKA: "Knowledge Association with Hyperbolic Knowledge Graph Embeddings". Zequn Sun, Muhao Chen, Wei Hu, Chengming Wang, Jian Dai, Wei Zhang. (EMNLP 2020) [paper][code]

  41. AttrGNN: "Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment". Zhiyuan Liu, Yixin Cao, Liangming Pan, Juanzi Li, Zhiyuan Liu, Tat-Seng Chua. (EMNLP 2020) [paper][code]

  42. EPEA: "Knowledge Graph Alignment with Entity-Pair Embedding". Zhichun Wang, Jinjian Yang, Xiaoju Ye. (EMNLP 2020) [paper]

  43. "Learning Short-Term Differences and Long-Term Dependencies for Entity Alignment". Jia Chen, Zhixu Li, Pengpeng Zhao, An Liu, Lei Zhao, Zhigang Chen, Xiangliang Zhang. (ISWC 2020) [paper]

  44. "Visual Pivoting for (Unsupervised) Entity Alignment". Fangyu Liu, Muhao Chen, Dan Roth, Nigel Collier. (AAAI 2021) [paper][code]

  45. "Dynamic Knowledge Graph Alignment". Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, Hanghang Tong. (AAAI 2021)

  46. RNM: "Relation-Aware Neighborhood Matching Model for Entity Alignment". Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yingpeng Du. (AAAI 2021) [paper]

  47. "Cross-lingual Entity Alignment with Incidental Supervision". Muhao Chen, Weijia Shi, Ben Zhou, Dan Roth. (EACL 2020) [paper][code]

Surveys and Benchmarking Studies

  1. OpenEA: "A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs". Zequn Sun, Qingheng Zhang, Wei Hu, Chengming Wang, Muhao Chen, Farahnaz Akrami, Chengkai Li. PVLDB, vol. 13. ACM 2020 [paper][code]

  2. "An Experimental Study of State-of-the-Art Entity Alignment Approaches". Xiang Zhao, Weixin Zeng, Jiuyang Tang, Wei Wang, Fabian Suchanek. TKDE, 2020 [paper]

  3. "Knowledge graph entity alignment with graph convolutional networks: Lessons learned". Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, Thomas Seidl. (ECIR 2020) [paper]

  4. "An Industry Evaluation of Embedding-based Entity Alignment". Ziheng Zhang, Jiaoyan Chen, Xi Chen, Hualuo Liu, Yuejia Xiang, Bo Liu, Yefeng Zheng. (COLING 2020) [paper][code]

Preprints

This section contains selected promising preprints.

  1. KAGAN: "Weakly-supervised Knowledge Graph Alignment with Adversarial Learning". Meng Qu, Jian Tang, Yoshua Bengio. (arXiv 2019) [paper][code]

  2. "Active Learning for Entity Alignment". Max Berrendorf, Evgeniy Faerman, Volker Tresp. (arXiv 2020) [paper]

  3. "Generalized Multi-Relational Graph Convolution Network". Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu. (arXiv 2020) [paper]

  4. "A Critical Assessment of State-of-the-Art in Entity Alignment". Max Berrendorf, Ludwig Wacker, Evgeniy Faerman. (arXiv 2020) [paper][code]

Tools

  1. OpenEA [repo]: a TensorFlow-based EA framework.

  2. EAkit [repo]: a PyTorch-based EA framework.

Comments

If you find any errors in the above information, please let us know in Issues. Pull requests are welcomed for adding papers.

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