/KGAlignmentPapers

Must-read papers for knowledge graph entity alignment.

Apache License 2.0Apache-2.0

Papers for Knowledge Graph Entity Alignment

Must-read papers for knowledge graph entity alignment in recent years.

Preliminaries

  • [TransE] Translating embeddings for modeling multi-relational data. A. Bordes, N. Usunier, A. Garcia-Duran, J. Weston, and O. Yakhnenko. NIPS, 2013.
  • [GCN] Semi-supervised classification with graph convolutional networks. T. N. Kipf and M. Welling. ICLR, 2017.
  • [GAT] Graph attention networks. P. Velickovic, G. Cucurull, A. Casanova, A. Romero, P. Lio, and Y. Bengio. ICLR, 2018.

Surveys

  • A Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learning. Rui Zhang, Bayu Distiawan Trisedy, Miao Li, Yong Jiang, Jianzhong Qi. ArXiv, 2021.
  • OpenEA: A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs. Zequn Sun. PVLDB, 2020.
  • An Experimental Study of State-of-the-Art Entity Alignment Approaches. Xiang Zhao. TKDE, 2020.
  • An Industry Evaluation of Embedding-based Entity Alignment. Ziheng Zhang. COLING, 2020.

Classical/Traditional models

  • Automatic interlinking of music datasets on the semantic web. Y. Raimond, C. Sutton, and M. B. Sandler. Proceedings of Linking Data on the Web Workshop, 2008.
  • RDF-AI: an architecture for rdf datasets matching, fusion and interlink. F. Scharffe, F. L. Yanbin, and C. Zhou. IJCAI, 2009.
  • Discovering and maintaining links on the web of data. J. Volz, C. Bizer, M. Gaedke, and G. Kobilarov. ISWC, 2009.
  • LIMES: a time-efficient approach for large-scale link discovery on the web of data. A.-C. N. Ngomo and S. Auer. IJCAI, 2011.

Translation-based models

  • Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment. Chen, Muhao, et al. IJCAI, 2017.
  • Iterative Entity Alignment via Joint Knowledge Embeddings. Zhu, Hao, et al. IJCAI, 2017.
  • Cross-lingual entity alignment via joint attribute-preserving embedding. Sun, Zequn, Wei Hu, and Chengkai Li. ISWC, 2017.
  • Bootstrapping Entity Alignment with Knowledge Graph Embedding. Sun, Zequn, et al. IJCAI, 2018.
  • Co-training embeddings of knowledge graphs and entity descriptions for cross-lingual entity alignment. Chen, Muhao, et al. IJCAI, 2018.
  • Entity alignment between knowledge graphs using attribute embeddings. Trisedya, Bayu Distiawan, Jianzhong Qi, and Rui Zhang. AAAI, 2019.
  • Multi-view Knowledge Graph Embedding for Entity Alignment. Zhang, Qingheng, et al. IJCAI, 2019.
  • Improving cross-lingual entity alignment via optimal transport. Pei, Shichao, Lu Yu, and Xiangliang Zhang. IJCAI, 2019.
  • Semi-supervised entity alignment via knowledge graph embedding with awareness of degree difference. Pei, Shichao, et al. WWW, 2019.
  • Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs. Zhu, Qiannan, et al. IJCAI, 2019.
  • Transedge: Translating relation-contextualized embeddings for knowledge graphs. Sun, Zequn, et al. ISWC, 2019.
  • Modeling multi-mapping relations for precise cross-lingual entity alignment. Shi, Xiaofei, and Yanghua Xiao. EMNLP, 2019.
  • COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment. Yang, Kai, et al. AAAI, 2020.
  • JarKA: Modeling Attribute Interactions for Cross-lingual Knowledge Alignment. Chen, Bo, et al. PAKDD, 2020.

GNN-based models

  • Cross-lingual knowledge graph alignment via graph convolutional networks. Wang, Zhichun, et al. EMNLP, 2018.
  • Multi-Channel Graph Neural Network for Entity Alignment. Cao, Yixin, et al. ACL, 2019.
  • Graph Alignment Networks with Node Matching Scores. Faerman, Evgeniy, et al. NIPS, 2019.
  • A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment. Ye, Rui, et al. IJCAI, 2019.
  • Entity Alignment for Cross-lingual Knowledge Graph with Graph Convolutional Networks. Xiong, Fan, and Jianliang Gao. IJCAI, 2019.
  • Semi-supervised entity alignment via joint knowledge embedding model and cross-graph model. Li, Chengjiang, et al. EMNLP, 2019.
  • Jointly learning entity and relation representations for entity alignment. Wu, Yuting, et al. EMNLP, 2019.
  • Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network. Xu, Kun, et al. ACL, 2019.
  • Relation-aware entity alignment for heterogeneous knowledge graphs. Wu, Yuting, et al. IJCAI, 2019.
  • Aligning cross-lingual entities with multi-aspect information. Yang, Hsiu-Wei, et al. EMNLP, 2019.
  • Collective Embedding-based Entity Alignment via Adaptive Features. Zeng, Wexin, et al. ICDE, 2020.
  • Knowledge graph alignment network with gated multi-hop neighborhood aggregation. Sun, Zequn, et al. AAAI, 2020.
  • Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment. Xu, Kun, et al. AAAI, 2020.
  • MRAEA: An Efficient and Robust Entity Alignment Approach for Cross-lingual Knowledge Graph. Mao, Xin, et al. WSDM, 2020.
  • Collective Multi-type Entity Alignment Between Knowledge Graphs. Zhu, Qi, et al. WWW, 2020.
  • Deep graph matching consensus. Fey, Matthias, et al. ICLR, 2020.
  • Neighborhood Matching Network for Entity Alignment. Wu, Yuting, et al. ACL, 2020.
  • 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.
  • Cross-lingual entity alignment for knowledge graphs with incidental supervision from free text. Chen, Muhao, et al. arXiv, 2020.

To be put in the right category

  • Non-translational Alignment for Multi-relational Networks. Shengnan Li, Xin Li, Rui Ye, Mingzhong Wang, Haiping Su, Yingzi Ou. IJCAI, 2018.
  • LinkNBed: Multi-Graph Representation Learning with Entity Linkage. Rakshit Trivedi, Bunyamin Sisman, Jun Ma, Christos Faloutsos, Hongyuan Zha, Xin Luna Dong. ACL, 2018.
  • Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs. Lingbing Guo, Zequn Sun, Wei Hu. ICML, 2019.
  • 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.
  • Degree-Aware Alignment for Entities in Tail. Weixin Zeng, Xiang Zhao, Wei Wang, Jiuyang Tang, Zhen Tan. SIGIR, 2020.
  • REA: Robust Cross-lingual Entity Alignment Between Knowledge Graphs. Pei, Shichao, et al. KDD, 2020.
  • Relational Reflection Entity Alignment. Mao, Xin, et al. CIKM, 2020.
  • Knowledge Graph Alignment with Entity-Pair Embedding. Wang, Zhichun, et al. EMNLP. 2020.
  • Knowledge Association with Hyperbolic Knowledge Graph Embeddings. Zequn Sun, Muhao Chen, Wei Hu, Chengming Wang, Jian Dai, Wei Zhang. EMNLP, 2020.
  • 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.
  • 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.
  • Visual Pivoting for (Unsupervised) Entity Alignment. Fangyu Liu, Muhao Chen, Dan Roth, Nigel Collier. AAAI, 2021.
  • Relation-Aware Neighborhood Matching Model for Entity Alignment. Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yingpeng Du. AAAI, 2021.
  • Guiding cross-lingual entity alignment via adversarial knowledge embedding. Lin, Xixun, et al. ICDM, 2019.
  • Weakly-supervised knowledge graph alignment with adversarial learning. Qu, Meng, Jian Tang, and Yoshua Bengio. ArXiv, 2019.
  • 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.
  • SAEA: Self-Attentive Heterogeneous Sequence Learning Model for Entity Alignment. Jia Chen, Binbin Gu, Zhixu Li, Pengpeng Zhao, An Liu, and Lei Zhao. DASFAA 2020.
  • A Contextual Alignment Enhanced Cross Graph Attention Network for Cross-lingual Entity Alignment. Zhiwen Xie, Runjie Zhu, Kunsong Zhao, Jin Liu, Guangyou Zhou, Jimmy Xiangji Huang. COLING, 2020.
  • Dual Attention Network for Cross-lingual Entity Alignment. Jian Sun, Yu Zhou, Chengqing Zong. COLING, 2020.
  • Relational Reflection Entity Alignment. Xin Mao, Wenting Wang, Huimin Xu, Yuanbin Wu, Man Lan. CIKM, 2020.
  • Towards Entity Alignment in the Open World: An Unsupervised Approach. Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xinyi Li, Minnan Luo, and Qinghua Zheng. DASFAA, 2021.
  • Cross-lingual Entity Alignment with Incidental Supervision. Muhao Chen, Weijia Shi, Ben Zhou, Dan Roth. EACL, 2021.
  • Collective Entity Alignment via Adaptive Features. Weixin Zeng, Xiang Zhao, Jiuyang Tang, and Xuemin Lin. ICDE, 2020.