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The flourishing of knowledge graph applications has driven the need for entity alignment (EA) across KGs.
Temporal knowledge graph embedding model based on additive time series decomposition
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Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment. In Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017 , Carles Sierra (Ed.). ijcai.org, 1511–1517
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Cross-lingual entity alignment via joint attribute-preserving embedding. In International Semantic Web Conference . Springer, 628–644
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Iterative Entity Alignment via Joint Knowledge Embeddings. In Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017 , Carles Sierra (Ed.). ijcai.org, 4258–4264
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Learning Sequence Encoders for Temporal Knowledge Graph Completion. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, Brussels, Belgium, 4816–4821
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Canonical Tensor Decomposition for Knowledge Base Completion. In Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018 (Proceedings of Machine Learning Research, Vol. 80) , Jennifer G. Dy and Andreas Krause (Eds.). PMLR, 2869–2878
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Bootstrapping Entity Alignment with Knowledge Graph Embedding. In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden , Jérôme Lang (Ed.). ijcai.org, 4396–4402
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Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, Brussels, Belgium, 349–357
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Personal Knowledge Graphs. In Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval . ACM, 217–220
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Multi-Channel Graph Neural Network for Entity Alignment. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics . Association for Computational Linguistics, Florence, Italy, 1452–1461
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Whitening sentence representations for better semantics and faster retrieval
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Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, Online and Punta Cana, Dominican Republic, 8999–9010
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Relation-Aware Neighborhood Matching Model for Entity Alignment. In Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021 . AAAI Press, 4749–4756
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Geospatial Entity Resolution. In Proceedings of the ACM Web Conference 2022 . ACM, 3061–3070
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Diachronic Embedding for Temporal Knowledge Graph Completion. In The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020 . AAAI Press, 3988–3995
Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker, and Pascal Poupart. 2020 · 2020
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Relational Reflection Entity Alignment. In CIKM ’20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020 , Mathieu d’Aquin, Stefan Dietze, Claudia Hauff, Edward Curry, and Philippe Cudré-Mauroux (Eds.). ACM, 1095–1104
Xin Mao, Wenting Wang, Huimin Xu, Yuanbin Wu, and Man Lan. 2020b · 2020
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Knowledge graphs: An information retrieval perspective
Ridho Reinanda, Edgar Meij, Maarten de Rijke, et al · 2020
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A benchmarking study of embedding-based entity alignment for knowledge graphs
Zequn Sun, Qingheng Zhang, Wei Hu, Chengming Wang, Muhao Chen, Farahnaz Akrami, and Chengkai Li. 2020 · 2020
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BERT-INT: A BERT-based Interaction Model For Knowledge Graph Alignment. In Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020 , Christian Bessiere (Ed.). ijcai.org, 3174–3180
Xiaobin Tang, Jing Zhang, Bo Chen, Yang Yang, Hong Chen, and Cuiping Li. 2020 · 2020
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TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation. In Proceedings of the 28th International Conference on Computational Linguistics . International Committee on Computational Linguistics, Barcelona, Spain (Online), 1583–1593
Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, and Jens Lehmann. 2020a · 2020
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Knowledge Graph Embeddings in Geometric Algebras. In Proceedings of the 28th International Conference on Computational Linguistics . International Committee on Computational Linguistics, Barcelona, Spain (Online), 530–544
Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen, and Jens Lehmann. 2020b · 2020
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An Experimental Study of State-of-the-Art Entity Alignment Approaches
X. Zhao, W. Zeng, J. Tang, W. Wang, and F. Suchanek. 2020 · 2020
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Boosting the Speed of Entity Alignment 10 ×: Dual Attention Matching Network with Normalized Hard Sample Mining. In Proceedings of the Web Conference 2021 . ACM, 821–832
Xin Mao, Wenting Wang, Yuanbin Wu, and Man Lan. 2021 · 2021
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Pasquale Balsebre, Dezhong Yao, Gao Cong, and Zhen Hai. 2022 · 2022
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A Simple Temporal Information Matching Mechanism for Entity Alignment between Temporal Knowledge Graphs. In Proceedings of the 29th International Conference on Computational Linguistics . International Committee on Computational Linguistics, Gyeongju, Republic of Korea, 2075–2086
Li Cai, Xin Mao, Meirong Ma, Hao Yuan, Jianchao Zhu, and Man Lan. 2022 · 2022
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Integrating Manifold Knowledge for Global Entity Linking with Heterogeneous Graphs
Zhibin Chen, Yuting Wu, Yansong Feng, and Dongyan Zhao. 2022 · 2022
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A critical re-evaluation of neural methods for entity alignment
Manuel Leone, Stefano Huber, Akhil Arora, Alberto García-Durán, and Robert West. 2022 · 2022
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Xueyuan Lin, Chengjin Xu, Fenglong Su, Gengxian Zhou, Tianyi Hu, Ningyuan Li, Mingzhi Sun, Haoran Luo, et al · 2022
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TempoQR: Temporal Question Reasoning over Knowledge Graphs. In Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022 . AAAI Press, 5825–5833
Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Adesoji Adeshina, Phillip R. Howard, Tetiana Grinberg, Nagib Hakim, and George Karypis. 2022 · 2022
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FuAlign: Cross-lingual entity alignment via multi-view representation learning of fused knowledge graphs
Chenxu Wang, Zhenhao Huang, Yue Wan, Junyu Wei, Junzhou Zhao, and Pinghui Wang. 2023 · 2022
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Time-aware Entity Alignment using Temporal Relational Attention. In Proceedings of the ACM Web Conference 2022 . ACM, 788–797
Chengjin Xu, Fenglong Su, Bo Xiong, and Jens Lehmann. 2022 · 2022
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Pkg. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval . ACM, 3334–3338
Yu Yang, Jiangxu Lin, Xiaolian Zhang, and Meng Wang. 2022 · 2022
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A benchmark and comprehensive survey on knowledge graph entity alignment via representation learning
Rui Zhang, Bayu Distiawan Trisedya, Miao Li, Yong Jiang, and Jianzhong Qi. 2022 · 2022
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