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Entity alignment seeks to find entities in different knowledge graphs (KGs) that refer to the same real-world object.
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Entity resolution: Tutorial
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PARIS: Probabilistic alignment of relations, instances, and schema
F. M. Suchanek, S. Abiteboul, and P. Senellart · 2012
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Translating embeddings for modeling multi-relational data
A. Bordes, N. Usunier, A. García-Durán, J. Weston, and O. Yakhnenko · 2013
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SiGMa: Simple greedy matching for aligning large knowledge bases
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Spectral networks and locally connected networks on graphs
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Wikidata: A free collaborative knowledgebase
D. Vrandečic̀ and M. Krötzsch · 2014
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Knowledge graph embedding by translating on hyperplanes
Z. Wang, J. Zhang, J. Feng, and Z. Chen · 2014
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ALEX: Automatic link exploration in linked data
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Knowledge graph embedding via dynamic mapping matrix
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DBpedia – a large-scale, multilingual knowledge base extracted from wikipedia
J. Lehmann, R. Isele, M. Jakob, A. Jentzsch, D. Kontokostas, P. N. Mendes, S. Hellmann, M. Morsey, P. van Kleef, S. Auer, and C. Bizer · 2015
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Learning entity and relation embeddings for knowledge graph completion
Y. Lin, Z. Liu, M. Sun, Y. Liu, and X. Zhu · 2015
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Observed versus latent features for knowledge base and text inference
K. Toutanova and D. Chen · 2015
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Embedding entities and relations for learning and inference in knowledge bases
B. Yang, W. tau Yih, X. He, J. Gao, and L. Deng · 2015
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Convolutional neural networks on graphs with fast localized spectral filtering
M. Defferrard, X. Bresson, and P. Vandergheynst · 2016
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An extensible linear approach for holistic ontology matching
I. Megdiche, O. Teste, and C. T. dos Santos · 2016
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Holographic embeddings of knowledge graphs
M. Nickel, L. Rosasco, and T. A. Poggio · 2016
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YAGO: A multilingual knowledge base from wikipedia, wordnet, and geonames
T. Rebele, F. M. Suchanek, J. Hoffart, J. Biega, E. Kuzey, and G. Weikum · 2016
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RiMOM-IM: A novel iterative framework for instance matching
C. Shao, L.-M. Hu, J.-Z. Li, Z.-C. Wang, T. Chung, and J.-B. Xia · 2016
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Complex embeddings for simple link prediction
T. Trouillon, J. Welbl, S. Riedel, Éric Gaussier, and G. Bouchard · 2016
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PBA: Partition and blocking based alignment for large knowledge bases
Y. Zhuang, G. Li, Z. Zhong, and J. Feng · 2016
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Enriching word vectors with subword information
P. Bojanowski, E. Grave, A. Joulin, and T. Mikolov · 2017
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Deep learning for entity matching: A design space exploration
S. Mudgal, H. Li, T. Rekatsinas, A. Doan, Y. Park, G. Krishnan, R. Deep, E. Arcaute, and V. Raghavendra · 2018
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Cross-lingual knowledge projection using machine translation and target-side knowledge base completion
N. Otani, H. Kiyomaru, D. Kawahara, and S. Kurohashi · 2018
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Modeling relational data with graph convolutional networks
M. S. Schlichtkrull, T. N. Kipf, P. Bloem, R. van den Berg, I. Titov, and M. Welling · 2018
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Open-world knowledge graph completion
B. Shi and T. Weninger · 2018
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Bootstrapping entity alignment with knowledge graph embedding
Z. Sun, W. Hu, Q. Zhang, and Y. Qu · 2018
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Graph attention networks
P. Veličković, G. Cucurull, A. Casanova, A. Romero, P. Liò, and Y. Bengio · 2018
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Multilingual knowledge graph embeddings for cross-lingual knowledge alignment
M. Chen, Y. Tian, M. Yang, and C. Zaniolo · 2017
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Representation learning on graphs: Methods and applications
W. L. Hamilton, R. Ying, and J. Leskovec · 2017
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Knowledge base completion: Baselines strike back
R. Kadlec, O. Bajgar, and J. Kleindienst · 2017
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A collective, probabilistic approach to schema mapping
A. Kimmig, A. Memory, R. J. Miller, and L. Getoor · 2017
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Semi-supervised classification with graph convolutional networks
T. N. Kipf and M. Welling · 2017
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Knowledge verification for long-tail verticals
F. Li, X. L. Dong, A. Langen, and Y. Li · 2017
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Cross-lingual knowledge graph alignment via graph convolutional networks
Z. Wang, Q. Lv, X. Lan, and Y. Zhang · 2018
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MEgo2Vec: Embedding matched ego networks for user alignment across social networks
J. Zhang, B. Chen, X. Wang, H. Chen, C. Li, F. Jin, G. Song, and Y. Zhang · 2018
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TuckER: Tensor factorization for knowledge graph completion
I. Balažević, C. Allen, and T. M. Hospedales · 2019
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Multi-channel graph neural network for entity alignment
Y. Cao, Z. Liu, C. Li, Z. Liu, J. Li, and T. Chua · 2019
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Learning to exploit long-term relational dependencies in knowledge graphs
L. Guo, Z. Sun, and W. Hu · 2019
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Learning to complete knowledge graphs with deep sequential models
L. Guo, Q. Zhang, W. Hu, Z. Sun, and Y. Qu · 2019
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Unsupervised entity alignment using attribute triples and relation triples
F. He, Z. Li, Y. Qiang, A. Liu, G. Liu, P. Zhao, L. Zhao, M. Zhang, and Z. Chen · 2019
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Semi-supervised entity alignment via joint knowledge embedding model and cross-graph model
C. Li, Y. Cao, L. Hou, J. Shi, J. Li, and T. Chua · 2019
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Guiding cross-lingual entity alignment via adversarial knowledge embedding
X. Lin, H. Yang, J. Wu, C. Zhou, and B. Wang · 2019
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Analyzing the limitations of cross-lingual word embedding mappings
A. Ormazabal, M. Artetxe, G. Labaka, A. Soroa, and E. Agirre · 2019
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Semi-supervised entity alignment via knowledge graph embedding with awareness of degree difference
S. Pei, L. Yu, R. Hoehndorf, and X. Zhang · 2019
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Improving cross-lingual entity alignment via optimal transport
S. Pei, L. Yu, and X. Zhang · 2019
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Modeling multi-mapping relations for precise cross-lingual entity alignment
X. Shi and Y. Xiao · 2019
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RotatE: Knowledge graph embedding by relational rotation in complex space
Z. Sun, Z.-H. Deng, J.-Y. Nie, and J. Tang · 2019
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Entity alignment between knowledge graphs using attribute embeddings
B. D. Trsedya, J. Qi, and R. Zhang · 2019
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Relation-aware entity alignment for heterogeneous knowledge graphs
Y. Wu, X. Liu, Y. Feng, Z. Wang, R. Yan, and D. Zhao · 2019
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Jointly learning entity and relation representations for entity alignment
Y. Wu, X. Liu, Y. Feng, Z. Wang, and D. Zhao · 2019
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Cross-lingual knowledge graph alignment via graph matching neural network
K. Xu, L. Wang, M. Yu, Y. Feng, Y. Song, Z. Wang, and D. Yu · 2019
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Aligning cross-lingual entities with multi-aspect information
H. Yang, Y. Zou, P. Shi, W. Lu, J. Lin, and X. Sun · 2019
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A vectorized relational graph convolutional network for multi-relational network alignment
R. Ye, X. Li, Y. Fang, H. Zang, and M. Wang · 2019
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Multi-view knowledge graph embedding for entity alignment
Q. Zhang, Z. Sun, W. Hu, M. Chen, L. Guo, and Y. Qu · 2019
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Abductive learning: Towards bridging machine learning and logical reasoning
Z.-H. Zhou · 2019
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Neighborhood-aware attentional representation for multilingual knowledge graphs
Q. Zhu, X. Zhou, J. Wu, J. Tan, and L. Guo · 2019
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Realistic re-evaluation of knowledge graph completion methods: An experimental study
F. Akrami, M. S. Saeef, Q. Zhang, W. Hu, and C. Li · 2020
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Knowledge graph embedding for link prediction: A comparative analysis
A. Rossi, D. Firmani, A. Matinata, P. Merialdo, and D. Barbosa · 2020
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Knowledge graph alignment network with gated multi-hop neighborhood aggregation
Z. Sun, C. Wang, W. Hu, M. Chen, J. Dai, W. Zhang, and Y. Qu · 2020
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