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We study the problem of embedding-based entity alignment between knowledge graphs (KGs).
Large-scale interactive ontology matching: Algorithms and implementation
Ernesto Jiménez-Ruiz, Bernardo Cuenca Grau, Yujiao Zhou, and Ian Horrocks · 2012
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PARIS: Probabilistic alignment of relations, instances, and schema
Fabian M. Suchanek, Serge Abiteboul, and Pierre Senellart · 2012
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Translating embeddings for modeling multi-relational data
Antoine Bordes, Nicolas Usunier, Alberto García-Durán, Jason Weston, and Oksana Yakhnenko · 2013
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Active learning of expressive linkage rules using genetic programming
Robert Isele and Christian Bizer · 2013
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Gregory S. Corrado, and Jeffrey Dean · 2013
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The properties of property alignment
Michelle Cheatham and Pascal Hitzler · 2014
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Knowledge graph embedding by translating on hyperplanes
Zhen Wang, Jianwen Zhang, Jianlin Feng, and Zheng Chen · 2014
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Knowledge graph embedding via dynamic mapping matrix
Guoliang Ji, Shizhu He, Liheng Xu, Kang Liu, and Jun Zhao · 2015
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Learning entity and relation embeddings for knowledge graph completion
Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, and Xuan Zhu · 2015
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Embedding entities and relations for learning and inference in knowledge bases
Bishan Yang, Wen tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng · 2015
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Multi-view representation learning: A survey from shallow methods to deep methods
Yingming Li, Ming Yang, and Zhongfei Zhang · 2016
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Holographic embeddings of knowledge graphs
Maximilian Nickel, Lorenzo Rosasco, and Tomaso A. Poggio · 2016
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Complex embeddings for simple link prediction
Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, and Guillaume Bouchard · 2016
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Multilingual knowledge graph embeddings for cross-lingual knowledge alignment
Muhao Chen, Yingtao Tian, Mohan Yang, and Carlo Zaniolo · 2017
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An attention-based collaboration framework for multi-view network representation learning
Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, and Jiawei Han · 2017
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Semi-supervised sequence modeling with cross-view training
Kevin Clark, Minh-Thang Luong, Christopher D. Manning, and Quoc V. Le · 2018
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Convolutional 2D knowledge graph embeddings
Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, and Sebastian Riedel · 2018
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Advances in pre-training distributed word representations
Tomas Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, and Armand Joulin · 2018
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Modeling relational data with graph convolutional networks
Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling · 2018
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Bootstrapping entity alignment with knowledge graph embedding
Zequn Sun, Wei Hu, Qingheng Zhang, and Yuzhong Qu · 2018
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Intra-view and inter-view attention for multi-view network embedding
Yueyang Wang, Liang Hu, Yueting Zhuang, and Fei Wu · 2018
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Baoxu Shi and Tim Weninger · 2017
Cited alongside, same era.
Cross-lingual entity alignment via joint attribute-preserving embedding
Zequn Sun, Wei Hu, and Chengkai Li · 2017
Cited alongside, same era.
Iterative entity alignment via joint knowledge embeddings
Hao Zhu, Ruobing Xie, Zhiyuan Liu, and Maosong Sun · 2017
Cited alongside, same era.
Co-training embeddings of knowledge graphs and entity descriptions for cross-lingual entity alignment
Muhao Chen, Yingtao Tian, Kai-Wei Chang, Steven Skiena, and Carlo Zaniolo · 2018
Cited alongside, same era.
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Cross-lingual knowledge graph alignment via graph convolutional networks
Zhichun Wang, Qingsong Lv, Xiaohan Lan, and Yu Zhang · 2018
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Starspace: Embed all the things!
Ledell Yu Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes, and Jason Weston · 2018
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Entity alignment between knowledge graphs using attribute embeddings
Bayu Distiawan Trsedya, Jianzhong Qi, and Rui Zhang · 2019
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