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https://github.com/thu-keg/entity_alignment_papers

Must-read papers on entity alignment published in recent years
https://github.com/thu-keg/entity_alignment_papers

entity-alignment knowledge-embedding knowledge-graph

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Must-read papers on entity alignment published in recent years

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README 

          
# Entity Alignment Papers



This is a repo listing some must-read papers on Entity Alignment published in recent years, mainly contributed by [Chengjiang Li](https://github.com/iamlockelightning), [Zequn Sun](https://github.com/sunzequn) and [Kaisheng Zeng](https://github.com/alpc43).



## Leaderboard

[https://paperswithcode.com/task/entity-alignment](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) \[[paper](http://ir.ia.ac.cn/bitstream/173211/20186/1/A%20Joint%20Embedding%20Method%20for%20Entity%20Alignment%20of%20Knowledge%20Bases.pdf)\]\[code\]



1. **MTransE**: **"Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment".**

*Muhao Chen, Yingtao Tian, Mohan Yang, Carlo Zaniolo.* (IJCAI 2017) \[[paper](https://www.ijcai.org/proceedings/2017/0209.pdf)\]\[[code](https://github.com/muhaochen/MTransE)\]



1. **JAPE**: **"Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding".**

*Zequn Sun, Wei Hu, Chengkai Li.* (ISWC 2017) \[[paper](https://arxiv.org/pdf/1708.05045.pdf)\]\[[code](https://github.com/nju-websoft/JAPE)\]



1. **IPTransE**: **"Iterative Entity Alignment via Joint Knowledge Embeddings".**

*Hao Zhu, Ruobing Xie, Zhiyuan Liu, Maosong Sun.* (IJCAI 2017) \[[paper](https://www.ijcai.org/proceedings/2017/0595.pdf)\]\[[code](https://github.com/thunlp/IEAJKE)\]



1. **BootEA**: **"Bootstrapping Entity Alignment with Knowledge Graph Embedding".**

*Zequn Sun, Wei Hu, Qingheng Zhang, Yuzhong Qu.* (IJCAI 2018) \[[paper](https://www.ijcai.org/proceedings/2018/0611.pdf)\]\[[code](https://github.com/nju-websoft/BootEA)\]



1. **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) \[[paper](https://www.ijcai.org/proceedings/2018/0556.pdf)\]\[[code](https://github.com/muhaochen/MTransE-tf)\]



1. **NTAM**: **"Non-translational Alignment for Multi-relational Networks".**

*Shengnan Li, Xin Li, Rui Ye, Mingzhong Wang, Haiping Su, Yingzi Ou.* (IJCAI 2018) \[[paper](https://www.ijcai.org/proceedings/2018/0581.pdf)\]\[code\]



1. **LinkNBed**: **"Multi-Graph Representation Learning with Entity Linkage".**

*Rakshit Trivedi, Bunyamin Sisman, Jun Ma, Christos Faloutsos, Hongyuan Zha, Xin Luna Dong* (ACL 2018) \[[paper](https://www.aclweb.org/anthology/P18-1024.pdf)\]\[code\]



1. **GCN-Align**: **"Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks".**

*Zhichun Wang, Qingsong Lv, Xiaohan Lan, Yu Zhang.* (EMNLP 2018) \[[paper](https://www.aclweb.org/anthology/D18-1032)\]\[[code](https://github.com/1049451037/GCN-Align)\]



1. **AttrE**: **"Entity Alignment between Knowledge Graphs Using Attribute Embeddings".**

*Bayu D. Trsedya, Jianzhong Qi, Rui Zhang.* (AAAI 2019) \[[paper](http://www.ruizhang.info/publications/AAAI2019-Entity%20Alignment%20between%20Knowledge%20Graphs%20Using%20Attribute%20Embeddings.pdf)\]\[[code](https://bitbucket.org/bayudt/kba/src)\]



1. **SEA**: **"Semi-Supervised Entity Alignment via Knowledge Graph Embedding with Awareness of Degree Difference".**

*Shichao Pei, Lu Yu, Robert Hoehndorf, Xiangliang Zhang.* (WWW 2019) \[[paper](https://dl.acm.org/citation.cfm?id=3313646)\]\[code\]



1. **RSN4EA**: **"Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs".**

*Lingbing Guo, Zequn Sun, Wei Hu.* (ICML 2019) \[[paper](https://arxiv.org/pdf/1905.04914.pdf)\]\[[code](https://github.com/nju-websoft/RSN)\]



1. **MuGNN**: **"Multi-Channel Graph Neural Network for Entity Alignment".**

*Yixin Cao, Zhiyuan Liu, Chengjiang Li, Zhiyuan Liu, Juanzi Li, Tat-Seng Chua.* (ACL 2019) \[[paper](https://www.aclweb.org/anthology/P19-1140)\]\[[code](https://github.com/thunlp/MuGNN)\]



1. **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) \[[paper](https://arxiv.org/pdf/1905.11605.pdf)\]\[[code](https://github.com/syxu828/Crosslingula-KG-Matching)\]



1. **MultiKE**: **"Multi-view Knowledge Graph Embedding for Entity Alignment".**

*Qingheng Zhang, Zequn Sun, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu.* (IJCAI 2019) \[[paper](https://www.ijcai.org/proceedings/2019/0754.pdf)\]\[[code](https://github.com/nju-websoft/MultiKE)\]



1. **RDGCN**: **"Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs".**

*Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Rui Yan, Dongyan Zhao.* (IJCAI 2019) \[[paper](https://www.ijcai.org/proceedings/2019/0733.pdf)\]\[[code](https://github.com/StephanieWyt/RDGCN)\]



1. **OTEA**: **"Improving Cross-lingual Entity Alignment via Optimal Transport".**

*Shichao Pei, Lu Yu, Xiangliang Zhang.* (IJCAI 2019) \[[paper](https://www.ijcai.org/proceedings/2019/0448.pdf)\]\[code\]



1. **NAEA**: **"Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs".**

*Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo.* (IJCAI 2019) \[[paper](https://www.ijcai.org/proceedings/2019/0269.pdf)\]\[code\]



1. **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) \[[paper](https://www.ijcai.org/proceedings/2019//0574.pdf)\]\[code\]



1. **TransEdge**: **"TransEdge: Translating Relation-Contextualized Embeddings for Knowledge Graphs".**

*Zequn Sun, Jiacheng Huang, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu.* (ISWC 2019) \[[paper](https://link.springer.com/chapter/10.1007/978-3-030-30793-6_35)\]\[[code](https://github.com/nju-websoft/TransEdge)\]



1. **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) \[[paper](https://www.aclweb.org/anthology/D19-1274.pdf)\]\[[code](https://github.com/THU-KEG/KECG)\]



1. **HGCN**: **"Jointly Learning Entity and Relation Representations for Entity Alignment".**

*Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Dongyan Zhao.* (EMNLP 2019) \[[paper](https://www.aclweb.org/anthology/D19-1023.pdf)\]\[[code](https://github.com/StephanieWyt/HGCN-JE-JR)\]



1. **MMEA**: **"Modeling Multi-mapping relations for Precise Cross-lingual Entity Alignment".**

*Xiaofei Shi, Yanghua Xiao.* (EMNLP 2019) \[[paper](https://www.aclweb.org/anthology/D19-1075.pdf)\]\[code\]



1. **HMAN**: **"Aligning Cross-lingual Entities with Multi-Aspect Information".**

*Hsiu-Wei Yang, Yanyan Zou, Peng Shi, Wei Lu, Jimmy Lin, Xu Sun.* (EMNLP 2019) \[[paper](https://cs.uwaterloo.ca/~jimmylin/publications/YangHW_etal_EMNLP2019.pdf)\]\[[code](https://github.com/h324yang/HMAN)\]



1. **AKE**: **"Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding".**

*Xixun Lin, Hong Yang, Jia Wu, Chuan Zhou, Bin Wang.* (ICDM 2019) \[[paper](https://ieeexplore.ieee.org/document/8970718/)\]\[[code](https://github.com/IIEdm/AKE)\]



1. **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) \[[paper](https://dl.acm.org/doi/abs/10.1145/3336191.3371804)\]\[[code](https://github.com/MaoXinn/MRAEA)\]



1. **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) \[[paper](https://arxiv.org/pdf/1911.08936.pdf)\]\[[code](https://github.com/nju-websoft/AliNet)\]



1. **"Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment".**

*Kun Xu, Linfeng Song, Yansong Feng, Yan Song, Dong Yu.* (AAAI 2020) \[[paper](https://arxiv.org/pdf/2001.08728.pdf)\]\[code\]



1. **COTSAE**: **"COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment".**

*Kai Yang, Shaoqin Liu, Junfeng Zhao, Yasha Wang, Bing Xie.* (AAAI 2020) \[[paper](http://www.dit.unitn.it/~pavel/OM/articles/Yang_AAAI20.pdf)\]\[[code](https://github.com/ykpku/COTSA)\]



1. **CEA**: **"Collective Entity Alignment via Adaptive Features".**

*Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin.* (ICDE 2020) \[[paper](https://arxiv.org/pdf/1912.08404.pdf)\]\[code\]



1. **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) \[[paper](https://dl.acm.org/doi/10.1145/3446428)\]\[[code](https://github.com/DexterZeng/CEAFF)\]



1. **"Deep Graph Matching Consensus".**

*Matthias Fey, Jan E. Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege.* (ICLR 2020) \[[paper](https://openreview.net/pdf?id=HyeJf1HKvS)\]\[code\]



1. **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) \[[paper](https://assets.amazon.science/ff/7a/b96282984a0fbe5e31a8fcf68d17/scipub-1202.pdf)\]\[[code](https://github.com/GentleZhu/CG-MuAlign)\]



1. **JarKA**: **"JarKA: Modeling Attribute Interactions for Cross-lingual Knowledge Alignment".**

*Bo Chen, Jing Zhang, Xiaobin Tang, Hong Chen, Cuiping Li.* (PAKDD 2020) \[[paper](https://arxiv.org/pdf/1910.13105.pdf)\]\[[code](https://github.com/BoChen-Daniel/PAKDD-20-JarKA)\]



1. **NMN**: **"Neighborhood Matching Network for Entity Alignment".**

*Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Dongyan Zhao.* (ACL 2020) \[[paper](https://arxiv.org/pdf/2005.05607.pdf)\]\[[code](https://github.com/StephanieWyt/NMN)\]



1. **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) \[[paper](https://www.ijcai.org/Proceedings/2020/0439.pdf)\]\[[code](https://github.com/kosugi11037/bert-int)\]



1. **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) \[[paper](https://www.ijcai.org/Proceedings/2020/0506.pdf)\]\[code\]



1. **DAT**: **"Degree-Aware Alignment for Entities in Tail".**

*Weixin Zeng, Xiang Zhao, Wei Wang, Jiuyang Tang, Zhen Tan.* (SIGIR 2020) \[[paper](https://arxiv.org/pdf/2005.12132.pdf)\]\[[code](https://github.com/DexterZeng/DAT)\]



1. **RREA**: **"Relational Reflection Entity Alignment".**

*Xin Mao, Wenting Wang, Huimin Xu, Yuanbin Wu, Man Lan.* (CIKM 2020) \[[paper](https://arxiv.org/pdf/2008.07962.pdf)\]\[[code](https://github.com/MaoXinn/RREA)\]



1. **REA**: **"REA: Robust Cross-lingual Entity Alignment Between Knowledge Graphs".**

*Shichao Pei, Lu Yu, Guoxian Yu, Xiangliang Zhang.* (KDD 2020) \[[paper](https://dl.acm.org/doi/10.1145/3394486.3403268)\]\[[code](https://github.com/scpei/REA)\]



1. **HyperKA**: **"Knowledge Association with Hyperbolic Knowledge Graph Embeddings".**

*Zequn Sun, Muhao Chen, Wei Hu, Chengming Wang, Jian Dai, Wei Zhang.* (EMNLP 2020) \[[paper](https://www.aclweb.org/anthology/2020.emnlp-main.460.pdf)\]\[[code](https://github.com/nju-websoft/HyperKA)\]



1. **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) \[[paper](https://www.aclweb.org/anthology/2020.emnlp-main.515.pdf)\]\[[code](https://github.com/thunlp/explore-and-evaluate)\]



1. **EPEA**: **"Knowledge Graph Alignment with Entity-Pair Embedding".**

*Zhichun Wang, Jinjian Yang, Xiaoju Ye.* (EMNLP 2020) \[[paper](https://www.aclweb.org/anthology/2020.emnlp-main.130.pdf)\]



1. **"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) \[[paper](https://link.springer.com/chapter/10.1007/978-3-030-62419-4_6)\]



1. **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) \[[paper](https://link.springer.com/content/pdf/10.1007%2F978-3-030-59416-9_26.pdf)\]



1. **"Visual Pivoting for (Unsupervised) Entity Alignment".**

*Fangyu Liu, Muhao Chen, Dan Roth, Nigel Collier.* (AAAI 2021) \[[paper](https://arxiv.org/pdf/2009.13603.pdf)\]\[[code](https://github.com/cambridgeltl/eva)\]



1. **DINGAL**: **"Dynamic Knowledge Graph Alignment".**

*Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, Hanghang Tong.* (AAAI 2021) \[[paper](https://www.aaai.org/AAAI21Papers/AAAI-10116.YanY.pdf)\]



1. **RNM**: **"Relation-Aware Neighborhood Matching Model for Entity Alignment".**

*Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yingpeng Du.* (AAAI 2021) \[[paper](https://arxiv.org/pdf/2012.08128.pdf)\]\[[code](https://github.com/Peter7Yao/RNM)\]



1. **"Cross-lingual Entity Alignment with Incidental Supervision".**

*Muhao Chen, Weijia Shi, Ben Zhou, Dan Roth.* (EACL 2021) \[[paper](https://arxiv.org/abs/2005.00171)\]\[code\]



1. **"Active Learning for Entity Alignment".**

*Max Berrendorf, Evgeniy Faerman, Volker Tresp.* (ECIR 2021) \[[paper](https://arxiv.org/abs/2001.08943)\]



1. **"Generalized Multi-Relational Graph Convolution Network".**

*Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu.* (WWW 2021) \[[paper](https://arxiv.org/pdf/2006.07331.pdf)\]



1. **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) \[[paper](https://arxiv.org/pdf/2103.15452.pdf)\]\[[code](https://github.com/MaoXinn/Dual-AMN)\]



1. **"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) \[[paper](https://arxiv.org/abs/2105.05596)\]\[[code](https://github.com/qizhyuan/PRASE-Python)\]



1. **"RAGA: Relation-aware Graph Attention Networks for Global Entity Alignment".**

*Renbo Zhu, Meng Ma, Ping Wang.* (PAKDD 2021) \[[paper](https://arxiv.org/abs/2103.00791)\]\[[code](https://github.com/zhurboo/RAGA)\]



1. **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) \[[paper](https://link.springer.com/chapter/10.1007/978-3-030-90888-1_19)\]\[[code]()\]



1. **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) \[[paper](https://arxiv.org/pdf/2108.05278.pdf)\]\[[code](https://github.com/MaoXinn/PSR)\]



1. **RAC**: **"Reinforced Active Entity Alignment".**

*Weixin Zeng, Xiang Zhao, Jiuyang Tang, Changjun Fan.* (CIKM 2021) \[[paper](https://dl.acm.org/doi/pdf/10.1145/3459637.3482472)\]\[[code](https://github.com/DexterZeng/RAC)\]



1. **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) \[[paper](https://dl.acm.org/doi/pdf/10.1145/3459637.3482338)\]



1. **SEU**: **"From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment".**

*Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan.* (EMNLP 2021) \[[paper](https://arxiv.org/pdf/2109.02363.pdf)\]\[[code](https://github.com/MaoXinn/SEU)\]



1. **ActiveEA**: **"ActiveEA: Active Learning for Neural Entity Alignment".**

*Bing Liu, Harrisen Scells, Guido Zuccon, Wen Hua, Genghong Zhao.* (EMNLP 2021) \[[paper](https://arxiv.org/pdf/2110.06474.pdf)\]\[[code](https://github.com/UQ-Neusoft-Health-Data-Science/ActiveEA)\]



1. **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) \[[paper](https://aclanthology.org/2021.emnlp-main.432.pdf)\]



1. **TEA-GNN**: **"Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs".**

*Chengjin Xu, Fenglong Su, Jens Lehmann.* (EMNLP 2021) \[[paper](https://aclanthology.org/2021.emnlp-main.709.pdf)\]\[[code](https://github.com/soledad921/TEA-GNN)\]



1. **EASY**: **"Make It Easy: An Effective End-to-End Entity Alignment Framework".**

*Congcong Ge, Xiaoze Liu, Lu Chen, Baihua Zheng, Yunjun Gao.* (SIGIR 2021) \[[paper](https://dl.acm.org/doi/10.1145/3404835.3462870)\]\[[code](https://github.com/ZJU-DAILY/EASY)\]



1. **IMEA**: **"Informed Multi-context Entity Alignment".**

*Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Xiaofang Zhou.* (WSDM 2022) \[[paper](https://arxiv.org/pdf/2201.00304.pdf)\]\[[code](https://github.com/JadeXIN/IMEA)\]



1. **LargeEA**: **"LargeEA: Aligning Entities for Large-scale Knowledge Graphs".**

*Congcong Ge, Xiaoze Liu, Lu Chen, Baihua Zheng, Yunjun Gao.* (VLDB 2022) \[[paper](https://arxiv.org/pdf/2108.05211.pdf)\]\[[code](https://github.com/ZJU-DBL/LargeEA)\]



1. **LIME**: **"On Entity Alignment at Scale".**

*Weixin Zeng, Xiang Zhao, Xinyi Li, Jiuyang Tang, Wei Wang.* The VLDB Journal, 2022. \[[paper](https://link.springer.com/article/10.1007/s00778-021-00703-3)\]\[[code](https://github.com/DexterZeng/LIME)\]



1. **SelfKG**: **"A Self-supervised Method for Entity Alignment".**

*Xiao Liu, Haoyun Hong, Xinghao Wang, Zeyi Chen, Evgeny Kharlamov, Yuxiao Dong, Jie Tang.* (WWW 2022). \[[paper](https://arxiv.org/abs/2203.01044)\]\[[code](https://github.com/THUDM/SelfKG)\]



1. **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). \[[paper](https://www2022.thewebconf.org/PaperFiles/159.pdf)\]\[[code](https://github.com/Deepak-Work/RePS)\]



1. **TREA**: **"Time-aware Entity Alignment using Temporal Relational Attention".**

*Chengjin Xu, Fenglong Su, Bo Xiong, Jens Lehmann.* (WWW 2022). \[[paper](https://dl.acm.org/doi/10.1145/3485447.3511922)\]\[[code]()\]



1. **UPLR**: **"Uncertainty-aware Pseudo Label Refinery for Entity Alignment".**

*Jia Li, Dandan Song.* (WWW 2022). \[[paper](https://dl.acm.org/doi/10.1145/3485447.3511926)\]\[[code](https://github.com/Jia-Li2/UPLR/)\]



1. **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). \[[paper](https://aclanthology.org/2022.acl-long.405/)\]\[[code](https://github.com/MaoXinn/DATTI)\]



1. **RPR-RHGT**: **"Entity Alignment with Reliable Path Reasoning and Relation-Aware Heterogeneous Graph Transformer".**

*Weishan Cai, Wenjun Ma, Jieyu Zhan, Yuncheng Jiang.* (IJCAI 2022). \[[paper](https://www.ijcai.org/proceedings/2022/0268.pdf)\]\[[code](https://github.com/cwswork/RPR-RHGT)\]



1. **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). \[[paper](https://www.aaai.org/AAAI22Papers/AAAI-5065.XinK.pdf)\]\[[code](https://github.com/JadeXIN/CycTEA)\]



1. **SDEA**: **"Semantics Driven Embedding Learning for Effective Entity Alignment".**

*Ziyue Zhong, Meihui Zhang, Ju Fan, Chenxiao Dou.* (ICDE 2022). \[[paper](https://ieeexplore.ieee.org/document/9835701)\]\[[code](https://github.com/zhongziyue/SDEA)\]



1. **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) \[[paper](https://arxiv.org/abs/2205.10312)\]\[[code](https://github.com/joker-xii/ClusterEA)\]



1. **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) \[[paper](https://dl.acm.org/doi/abs/10.1145/3534678.3539244)\]\[[code](https://github.com/liyichen-cly/MSNEA)\]



1. **NeoEA**: **"Understanding and Improving Knowledge Graph Embedding for Entity Alignment".**

*Lingbing Guo, Mingyang Chen, Zequn Sun, Wei Hu, Qiang Zhang, Huajun Chen.* (ICML 2022) \[[paper](https://proceedings.mlr.press/v162/guo22i/guo22i.pdf)\]\[[code](https://github.com/guolingbing/NeoEA)\]



1. **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) \[[paper](https://arxiv.org/abs/2207.11436)\]\[[code](https://github.com/nju-websoft/ContEA)\]



1. **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) \[[paper](https://arxiv.org/abs/2208.11125)\]\[[code](https://github.com/JadeXIN/LargeGNN)\]



1. **DivEA**: **"High-quality Task Division for Large-scale Entity Alignment".**

*Bing Liu, Wen Hua, Guido Zuccon, Genghong Zhao, Xia Zhang.* (CIKM 2022) \[[paper](https://arxiv.org/pdf/2208.10366.pdf)\]\[[code](https://github.com/uqbingliu/DivEA)\]



1. **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) \[[paper](https://arxiv.org/pdf/2201.06225.pdf)\]\[[code](https://github.com/THU-KEG/ICLEA)\]



1. **RoadEA**: **"Revisiting Embedding-based Entity Alignment: A Robust and Adaptive Method".**

*Zequn Sun, Wei Hu, Chengming Wang, Yuxin Wang, Yuzhong Qu.* (TKDE 2022) \[[paper](https://ieeexplore.ieee.org/document/9865204/)\]\[[code](https://github.com/nju-websoft/RoadEA)\]



1. **MCLEA**: **"Multi-modal Contrastive Representation Learning for Entity Alignment".**

*Zhenxi Lin, Ziheng Zhang, Meng Wang, Yinghui Shi, Xian Wu, Yefeng Zheng.* (COLING 2022) \[[paper](https://arxiv.org/pdf/2209.00891.pdf)\]\[[code]()\]



1. **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) \[[paper](https://arxiv.org/pdf/2210.10436.pdf)\]\[[code](https://github.com/MaoXinn/LightEA/)\]



1. **EMEA**: **"Guiding Neural Entity Alignment with Compatibility".**

*Bing Liu, Harrisen Scells, Wen Hua, Guido Zuccon, Genghong Zhao, Xia Zhang.* (EMNLP 2022) \[[paper](https://aclanthology.org/2022.emnlp-main.32.pdf)\]\[[code](https://github.com/uqbingliu/EMEA)\]



1. **DualMatch**: **"Unsupervised Entity Alignment for Temporal Knowledge Graphs".**

*Xiaoze Liu, Junyang Wu, Tianyi Li, Lu Chen, Yunjun Gao.* (WWW 2023) \[[paper](https://arxiv.org/abs/2302.00796)\]\[[code](https://github.com/ZJU-DAILY/DualMatch)\]



1. **STEA**: **"Dependency-aware Self-training for Entity Alignment".**

*Bing Liu, Tiancheng Lan, Wen Hua, Guido Zuccon.* (WSDM 2023) \[[paper](https://arxiv.org/abs/2211.16101)\]\[[code](https://github.com/uqbingliu/STEA)\]



1. **"Weakly Supervised Entity Alignment with Positional Inspiration".**

*Wei Tang,Fenglong Su,Haifeng Sun,Qi Qi,Jingyu Wang,Shimin Tao,Hao Yang.* (WSDM 2023) \[[paper](https://dl.acm.org/doi/abs/10.1145/3539597.3570394)\]\[[code](https://github.com/OceanTangWei/PEEA)\]



1. **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) \[[paper](https://arxiv.org/abs/2305.11501)\]\[[code](https://github.com/OreOZhao/TEA)\]



1. **FGWEA**: **"A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment".**

*Jianheng Tang, Kangfei Zhao, Jia Li.* (ACL-findings 2023) \[[paper](https://arxiv.org/abs/2305.06574)\]\[[code](https://github.com/squareRoot3/FusedGW-Entity-Alignment)\]



1. **"MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid".**

*Zhuo Chen, Jiaoyan Chen, Wen Zhang, Lingbing Guo, Yin Fang, Yufeng Huang, Yichi Zhang, Yuxia Geng, Jeff Z. Pan, Wenting Song, Huajun Chen.* (ACM MM 2023) \[[paper](https://arxiv.org/abs/2212.14454)\]\[[code](https://github.com/zjukg/MEAformer)\]



1. **UMAEA**: **"Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment".**

*Zhuo Chen, Lingbing Guo, Yin Fang, Yichi Zhang, Jiaoyan Chen, Jeff Z. Pan, Yangning Li, Huajun Chen, Wen Zhang.* (ISWC 2023) \[[paper](https://arxiv.org/abs/2307.16210)\]\[[code](https://github.com/zjukg/UMAEA)\]



## Dangling-Aware Entity Alignment

This section covers the new problem setting of entity alignment with dangling cases. ([Muhao](https://github.com/muhaochen): Proposed, and may be reorganized)

1. **"Knowing the No-match: Entity Alignment with Dangling Cases".**

*Zequn Sun, Muhao Chen, Wei Hu.* (ACL 2021) \[[paper](https://sunzequn.github.io/articles/acl2021_dbp2.pdf)\]\[[code](https://github.com/nju-websoft/OpenEA)\]



1. **""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) \[[paper](https://aclanthology.org/2022.findings-naacl.88.pdf)\]  



## Cross-lingual Knowledge Graph Completion  

This section includes the cross-lingual KGC that is extended from the original EA problem. ([Muhao](https://github.com/muhaochen): 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) \[[paper](https://www.aclweb.org/anthology/2020.findings-emnlp.290.pdf)\]\[[code](https://github.com/stasl0217/KEnS)\]



1. **"Prix-LM: Pretraining for Multilingual Knowledge Base Construction".**

*Wenxuan Zhou, Fangyu Liu, Ivan Vulić, Nigel Collier, Muhao Chen.* (ACL 2022) \[[paper](https://aclanthology.org/2022.acl-long.371.pdf)\]\[[code](https://github.com/luka-group/prix-lm)\]



1. **"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) \[[paper](https://aclanthology.org/2022.acl-long.36.pdf)\]



## 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 \[[paper](https://arxiv.org/pdf/2003.07743.pdf)\]\[[code](https://github.com/nju-websoft/OpenEA)\]



1. **"An Experimental Study of State-of-the-Art Entity Alignment Approaches".**

*Xiang Zhao, Weixin Zeng, Jiuyang Tang, Wei Wang, Fabian Suchanek.* TKDE, 2020 \[[paper](https://doi.org/10.1109/TKDE.2020.3018741)\]



1. **"Knowledge graph entity alignment with graph convolutional networks: Lessons learned".**

*Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, Thomas Seidl.* (ECIR 2020) \[[paper](https://arxiv.org/abs/1911.08342)\]



1. **"An Industry Evaluation of Embedding-based Entity Alignment".**

*Ziheng Zhang, Jiaoyan Chen, Xi Chen, Hualuo Liu, Yuejia Xiang, Bo Liu, Yefeng Zheng.* (COLING 2020) \[[paper](https://arxiv.org/pdf/2010.11522.pdf)\]\[[code](https://github.com/ZihengZZH/industry-eval-EA)\]



1. **"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 \[[paper](https://www.sciencedirect.com/science/article/pii/S2666651021000036)\]\[[code](https://github.com/THU-KEG/EAkit)\]



1. **"Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment".**

*Zhuo Chen, Lingbing Guo, Yin Fang, Yichi Zhang, Jiaoyan Chen, Jeff Z. Pan, Yangning Li, Huajun Chen, Wen Zhang.* (ISWC 2023) \[[paper](https://arxiv.org/abs/2307.16210)\]\[[code](https://github.com/zjukg/UMAEA)\]



## 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) \[[paper](https://arxiv.org/pdf/1907.03179.pdf)\]\[code\]



1. **"A Critical Assessment of State-of-the-Art in Entity Alignment".**

*Max Berrendorf, Ludwig Wacker, Evgeniy Faerman.* (arXiv 2020) \[[paper](https://arxiv.org/pdf/2010.16314.pdf)\]\[[code](https://github.com/mberr/ea-sota-comparison)\]



1. **"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) \[[paper](https://arxiv.org/pdf/2201.05349.pdf)\]\[[code](https://github.com/acharkq/Training-Free-Graph-Matching)\]



1. **"Jointly Learning Knowledge Embedding and Neighborhood Consensus with Relational Knowledge Distillation for Entity Alignment".** 

*Xinhang Li, Yong Zhang, Chunxiao Xing.* (arXiv 2022) \[[paper](https://arxiv.org/pdf/2201.11249.pdf)\]\[[code]()\]



1. **"Revisit and Outstrip Entity Alignment: A Perspective of Generative Models".** 

*Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Huajun Chen.* (arXiv 2023) \[[paper](https://arxiv.org/abs/2305.14651)\]\[[code]()\]



1. **"Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Paths".** 

*Bolin Zhu, Xiaoze Liu, Xin Mao, Zhuo Chen, Lingbing Guo, Tao Gui, Qi Zhang.* (arXiv 2023) \[[paper](https://arxiv.org/abs/2310.05364)\]\[[code]()\]



## Tools



1. **OpenEA** \[[repo](https://github.com/nju-websoft/OpenEA)\]: a TensorFlow-based EA framework.



1. **EAkit** \[[repo](https://github.com/THU-KEG/EAkit)\]: a PyTorch-based EA framework.



## Comments



If you find any errors in the above information, please let us know in [Issues](https://github.com/THU-KEG/Entity_Alignment_Papers/issues). [Pull requests](https://github.com/THU-KEG/Entity_Alignment_Papers/pulls) are welcomed for adding papers.