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

https://paperswithcode.com/task/entity-alignment

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][code]

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

31. CEAFF: "Reinforcement Learning–based Collective Entity Alignment with Adaptive Features". Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin, Paul Groth. (ACM Transactions on Information Systems) [paper][code]

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

33. 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]

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

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

36. 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]

37. 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]

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

39. RREA: "Relational Reflection Entity Alignment". Xin Mao, Wenting Wang, Huimin Xu, Yuanbin Wu, Man Lan. (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]

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

42. 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]

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

44. "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]

45. RE-GCN: "RE-GCN: Relation Enhanced Graph Convolutional Network for Entity Alignment in Heterogeneous Knowledge Graphs". Jinzhu Yang, Wei Zhou, Lingwei Wei, Junyu Lin, Jizhong Han, and Songlin Hu. (DASFAA 2020) [paper]

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

47. DINGAL: "Dynamic Knowledge Graph Alignment". Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, Hanghang Tong. (AAAI 2021) [paper]

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

49. "Cross-lingual Entity Alignment with Incidental Supervision". Muhao Chen, Weijia Shi, Ben Zhou, Dan Roth. (EACL 2021) [paper][code]

50. "Active Learning for Entity Alignment". Max Berrendorf, Evgeniy Faerman, Volker Tresp. (ECIR 2021) [paper]

51. "Generalized Multi-Relational Graph Convolution Network". Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu. (WWW 2021) [paper]

52. Dual-AMN: "Boosting the Speed of Entity Alignment 10×: Dual Attention Matching Network with Normalized Hard Sample Mining". Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan. (WWW 2021) [paper][code]

53. "Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding". Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yuejia Xiang, Ningyu Zhang, Yefeng Zheng. (IJCAI 2021) [paper][code]

54. "RAGA: Relation-aware Graph Attention Networks for Global Entity Alignment". Renbo Zhu, Meng Ma, Ping Wang. (PAKDD 2021) [paper][code]

55. PSR: "Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness". Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan. (CIKM 2021) [paper][code]

56. RAC: "Reinforced Active Entity Alignment". Weixin Zeng, Xiang Zhao, Jiuyang Tang, Changjun Fan. (CIKM 2021) [paper][code]

57. ERMC: "Entity and Relation Matching Consensus for Entity Alignment". Jinzhu Yang, Ding Wang, Wei Zhou, Wanhui Qian, Xin Wang, Jizhong Han, Songlin Hu. (CIKM 2021) [paper]

58. SEU: "From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment". Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan. (EMNLP 2021) [paper][code]

59. ActiveEA: "ActiveEA: Active Learning for Neural Entity Alignment". Bing Liu, Harrisen Scells, Guido Zuccon, Wen Hua, Genghong Zhao. (EMNLP 2021) [paper][code]

60. EAA: "Adversarial Attack against Cross-lingual Knowledge Graph Alignment". Zeru Zhang, Zijie Zhang, Yang Zhou, Lingfei Wu, Sixing Wu, Xiaoying Han, Dejing Dou, Tianshi Che, Da Yan. (EMNLP 2021) [paper]

61. TEA-GNN: "Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs". Chengjin Xu, Fenglong Su, Jens Lehmann. (EMNLP 2021) [paper][code]

62. EASY: "Make It Easy: An Effective End-to-End Entity Alignment Framework". Congcong Ge, Xiaoze Liu, Lu Chen, Baihua Zheng, Yunjun Gao. (SIGIR 2021) [paper][code]

63. IMEA: "Informed Multi-context Entity Alignment". Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Xiaofang Zhou. (WSDM 2022) [paper][code]

64. LargeEA: "LargeEA: Aligning Entities for Large-scale Knowledge Graphs". Congcong Ge, Xiaoze Liu, Lu Chen, Baihua Zheng, Yunjun Gao. (VLDB 2022) [paper][code]

65. LIME: "On Entity Alignment at Scale". Weixin Zeng, Xiang Zhao, Xinyi Li, Jiuyang Tang, Wei Wang. The VLDB Journal, 2022. [paper][code]

66. SelfKG: "A Self-supervised Method for Entity Alignment". Xiao Liu, Haoyun Hong, Xinghao Wang, Zeyi Chen, Evgeny Kharlamov, Yuxiao Dong, Jie Tang. (WWW 2022). [paper][code]

67. RePS: "RePS: Relation, Position and Structure aware Entity Alignment". Anil Surisetty, Deepak Chaurasiya, Nitish Kumar, Alok Singh, Gaurav Dhama, Aakarash Malhotra, Ankur Arora, Vikrant Dey. (WWW 2022). [paper][code]

68. TREA: "Time-aware Entity Alignment using Temporal Relational Attention". Chengjin Xu, Fenglong Su, Bo Xiong, Jens Lehmann. (WWW 2022). [paper][code]

69. UPLR: "Uncertainty-aware Pseudo Label Refinery for Entity Alignment". Jia Li, Dandan Song. (WWW 2022). [paper][code]

70. DATTI: "An Effective and Efficient Entity Alignment Decoding Algorithm via Third-Order Tensor Isomorphism". Xin Mao, Meirong Ma, Hao Yuan, Jianchao Zhu, ZongYu Wang, Rui Xie, Wei Wu, Man Lan. (ACL 2022). [paper][code]

71. RPR-RHGT: "Entity Alignment with Reliable Path Reasoning and Relation-Aware Heterogeneous Graph Transformer". Weishan Cai, Wenjun Ma, Jieyu Zhan, Yuncheng Jiang. (IJCAI 2022). [paper][code]

72. CycTEA: "Ensemble Semi-supervised Entity Alignment via Cycle-teaching". Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, Xiaofang Zhou. (AAAI 2022). [paper][code]

73. SDEA: "Semantics Driven Embedding Learning for Effective Entity Alignment". Ziyue Zhong, Meihui Zhang, Ju Fan, Chenxiao Dou. (ICDE 2022). [paper][code]

74. ClusterEA: "ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities". Yunjun Gao, Xiaoze Liu, Junyang Wu, Tianyi Li, Pengfei Wang, Lu Chen. (KDD 2022) [paper][code]

75. MSNEA: "Multi-modal Siamese Network for Entity Alignment". Liyi Chen, Zhi Li, Tong Xu, Han Wu, Zhefeng Wang, Nicholas Jing Yuan, Enhong Chen. (KDD 2022) [paper][code]

76. NeoEA: "Understanding and Improving Knowledge Graph Embedding for Entity Alignment". Lingbing Guo, Mingyang Chen, Zequn Sun, Wei Hu, Qiang Zhang, Huajun Chen. (ICML 2022) [paper][code]

77. ContEA: "Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs". Yuxin Wang, Yuanning Cui, Wenqiang Liu, Zequn Sun, Yiqiao Jiang, Kexin Han, Wei Hu. (ISWC 2022) [paper][code]

78. LargeGNN: "Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding". Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Jianfeng Qu, Xiaofang Zhou. (CIKM 2022) [paper][code]

79. DivEA: "High-quality Task Division for Large-scale Entity Alignment". Bing Liu, Wen Hua, Guido Zuccon, Genghong Zhao, Xia Zhang. (CIKM 2022) [paper][code]

80. ICLEA: "Interactive Contrastive Learning for Self-supervised Entity Alignment". Kaisheng Zeng, Zhenhao Dong, Lei Hou, Yixin Cao, Minghao Hu, Jifan Yu, Xin Lv, Juanzi Li, Ling Feng. (CIKM 2022) [paper][code]

81. RoadEA: "Revisiting Embedding-based Entity Alignment: A Robust and Adaptive Method". Zequn Sun, Wei Hu, Chengming Wang, Yuxin Wang, Yuzhong Qu. (TKDE 2022) [paper][code]

82. MCLEA: "Multi-modal Contrastive Representation Learning for Entity Alignment". Zhenxi Lin, Ziheng Zhang, Meng Wang, Yinghui Shi, Xian Wu, Yefeng Zheng. (COLING 2022) [paper][code]

83. LightEA: "LightEA: A Scalable, Robust, and Interpretable Entity Alignment Framework via Three-view Label Propagation". Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan. (EMNLP 2022) [paper][code]

This section includes some new problem settings that are extended from the basic EA problem. (Muhao: Proposed, and may be reorganized)

1. "Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer". Xuelu Chen, Muhao Chen, Changjun Fan, Ankith Uppunda, Yizhou Sun, Carlo Zaniolo. (Findings of EMNLP 2020) [paper][code]

2. "Knowing the No-match: Entity Alignment with Dangling Cases". Zequn Sun, Muhao Chen, Wei Hu. (ACL 2021) [paper][code]

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]

5. "A comprehensive survey of entity alignment for knowledge graphs". Kaisheng Zeng, Chengjiang Li, Lei Hou, Juanzi Li, Ling Feng. AI Open, vol. 2, Elsevier 2021 [paper][code]

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

3. "Training Free Graph Neural Networks For Graph Matching". Zhiyuan Liu, Yixin Cao, Fuli Feng, Xiang Wang, Xindi Shang, Jie Tang, Kenji Kawaguchi, Tat-Seng Chua. (arXiv 2022) [paper][code]

4. "Jointly Learning Knowledge Embedding and Neighborhood Consensus with Relational Knowledge Distillation for Entity Alignment". Xinhang Li, Yong Zhang, Chunxiao Xing. (arXiv 2022) [paper][code]

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

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

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