Entity Alignment Papers

This is a repo listing some must-read papers on Entity Alignment published in recent years, 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. G-CREWE: "G-CREWE: Graph CompREssion With Embedding for NetworkAlignment". Kyle K. Qin, Flora D. Salim, Yongli Ren, Wei Shao, Mark Heimann, Danai Koutra. (CIKM 2020) [paper][code]

40. REA: "REA: Robust Cross-lingual Entity Alignment Between Knowledge Graphs". Shichao Pei, Lu Yu, Guoxian Yu, Xiangliang Zhang. (KDD 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]

Preprints

This section contains promising recent 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. JEANS: "Cross-lingual Entity Alignment for Knowledge Graphs with Incidental Supervision from Free Text". Muhao Chen, Weijia Shi, Ben Zhou, Dan Roth. (arXiv 2020) [paper][code]

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

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.