Entity Alignment Papers

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.

Leaderboard

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

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][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. C4EA: "Encoding the meaning triangle (object, entity, and concept) as the semantic foundation for entity alignment". Kaisheng Zeng, Chengjiang Li, Yan Qi, Xin Lv, Lei Hou, Guozheng Peng, Juanzi Li, Ling Feng. (WISE 2021) [paper][code]

56. 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]

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

58. 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]

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

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

61. 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]

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

63. 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]

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

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

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

67. 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]

68. 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]

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

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

71. 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]

72. 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]

73. 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]

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

75. 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]

76. 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]

77. 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]

78. 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]

79. 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]

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

81. 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]

82. 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]

83. 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]

84. 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]

85. EMEA: "Guiding Neural Entity Alignment with Compatibility". Bing Liu, Harrisen Scells, Wen Hua, Guido Zuccon, Genghong Zhao, Xia Zhang. (EMNLP 2022) [paper][code]

86. DualMatch: "Unsupervised Entity Alignment for Temporal Knowledge Graphs". Xiaoze Liu, Junyang Wu, Tianyi Li, Lu Chen, Yunjun Gao. (WWW 2023) [paper][code]

87. STEA: "Dependency-aware Self-training for Entity Alignment". Bing Liu, Tiancheng Lan, Wen Hua, Guido Zuccon. (WSDM 2023) [paper][code]

88. "Weakly Supervised Entity Alignment with Positional Inspiration". Wei Tang,Fenglong Su,Haifeng Sun,Qi Qi,Jingyu Wang,Shimin Tao,Hao Yang. (WSDM 2023) [paper][code]

89. TEA: "From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignment". Yu Zhao, Yike Wu, Xiangrui Cai, Ying Zhang, Haiwei Zhang, Xiaojie Yuan. (ACL-findings 2023) [paper][code]

90. FGWEA: "A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment". Jianheng Tang, Kangfei Zhao, Jia Li. (ACL-findings 2023) [paper][code]

Dangling-Aware Entity Alignment

This section covers the new problem setting of entity alignment with dangling cases. (Muhao: Proposed, and may be reorganized)

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

2. ""Dangling-Aware Entity Alignment with Mixed High-Order Proximities. Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen. (NAACL-findings 2022) [paper]

Cross-lingual Knowledge Graph Completion

This section includes the cross-lingual KGC that is extended from the original 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. "Prix-LM: Pretraining for Multilingual Knowledge Base Construction". Wenxuan Zhou, Fangyu Liu, Ivan Vulić, Nigel Collier, Muhao Chen. (ACL 2022) [paper][code]

3. "Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment". Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, and Wei Wang. (ACL 2022) [paper]

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]

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]

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. "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]

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.