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Knowledge graphs (KGs) store rich facts about the real world.
Yan Zhuang, Guoliang Li, Zhuojian Zhong, and Jianhua Feng. 2017 · 1926
Earlier work this paper cites.
Duplicate Record Detection: A Survey
Ahmed K. Elmagarmid, Panagiotis G. Ipeirotis, and Vassilios S. Verykios. 2007 · 2007
Earlier work this paper cites.
Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study. In SIGMOD . ACM, Portland, OR, USA, 1995–2010
Farahnaz Akrami, Mohammed Samiul Saeef, Qingheng Zhang, Wei Hu, and Chengkai Li. 2020 · 2010
Earlier work this paper cites.
PARIS: Probabilistic Alignment of Relations, Instances, and Schema
Fabian M. Suchanek, Serge Abiteboul, and Pierre Senellart. 2011 · 2011
Earlier work this paper cites.
Translating Embeddings for Modeling Multi-relational Data. In NIPS . Curran Associates Inc., Lake Tahoe, NV, USA, 2787–2795
Antoine Bordes, Nicolas Usunier, Alberto García-Durán, Jason Weston, and Oksana Yakhnenko. 2013 · 2013
Earlier work this paper cites.
Ontology Matching (second ed.)
Jérôme Euzenat and Pavel Shvaiko. 2013 · 2013
Earlier work this paper cites.
Corleone: Hands-off Crowdsourcing for Entity Matching. In SIGMOD . ACM, Snowbird, UT, USA, 601–612
Chaitanya Gokhale, Sanjib Das, AnHai Doan, Jeffrey F Naughton, Narasimhan Rampalli, Jude Shavlik, and Xiaojin Zhu. 2014 · 2014
Earlier work this paper cites.
Wikidata: A Free Collaborative Knowledgebase
Denny Vrandecic and Markus Krötzsch. 2014 · 2014
Earlier work this paper cites.
DBpedia - A Large-scale, Multilingual Knowledge Base Extracted from Wikipedia
Jens Lehmann, Robert Isele, Max Jakob, Anja Jentzsch, Dimitris Kontokostas, Pablo N. Mendes, Sebastian Hellmann, Mohamed Morsey, Patrick van Kleef, Sören Auer, and Christian Bizer. 2015 · 2015
Earlier work this paper cites.
Lazier than Lazy Greedy. In AAAI . AAAI Press, Austin, TX, USA, 1812–1818
Baharan Mirzasoleiman, Ashwinkumar Badanidiyuru, Amin Karbasi, Jan Vondrák, and Andreas Krause. 2015 · 2015
Earlier work this paper cites.
Progressive Duplicate Detection
Thorsten Papenbrock, Arvid Heise, and Felix Naumann. 2015 · 2015
Earlier work this paper cites.
PBA: Partition and Blocking Based Alignment for Large Knowledge Bases. In DASFAA . Springer, Dallas, TX, USA, 415–431
Yan Zhuang, Guoliang Li, Zhuojian Zhong, and Jianhua Feng. 2016 · 2016
Earlier work this paper cites.
Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment. In IJCAI . IJCAI, Melbourne, Australia, 1511–1517
Muhao Chen, Yingtao Tian, Mohan Yang, and Carlo Zaniolo. 2017 · 2017
Earlier work this paper cites.
Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services. In SIGMOD . ACM, Raleigh, NC, USA, 1431–1446
Sanjib Das, Paul Suganthan G.C., AnHai Doan, Jeffrey F. Naughton, Ganesh Krishnan, Rohit Deep, Esteban Arcaute, Vijay Raghavendra, and Youngchoon Park. 2017 · 2017
Earlier work this paper cites.
On Calibration of Modern Neural Networks. In ICML . PMLR, Sydney, Australia, 1321–1330
Chuan Guo, Geoff Pleiss, Yu Sun, and Kilian Q. Weinberger. 2017 · 2017
Earlier work this paper cites.
Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding. In ISWC . Springer, Vienna, Austria, 628–644
Zequn Sun, Wei Hu, and Chengkai Li. 2017 · 2017
Earlier work this paper cites.
Knowledge Graph Embedding: A Survey of Approaches and Applications
Quan Wang, Zhendong Mao, Bin Wang, and Li Guo. 2017 · 2017
Earlier work this paper cites.
A Partial-Order-Based Framework for Cost-Effective Crowdsourced Entity Resolution
Chengliang Chai, Guoliang Li, Jian Li, Dong Deng, and Jianhua Feng. 2018 · 2018
Earlier work this paper cites.
Distributed Representations of Tuples for Entity Resolution
Muhammad Ebraheem, Saravanan Thirumuruganathan, Shafiq R. Joty, Mourad Ouzzani, and Nan Tang. 2018 · 2018
Earlier work this paper cites.
DeepAlignment: Unsupervised Ontology Matching with Refined Word Vectors. In NAACL . ACL, New Orleans, LA, USA, 787–798
Prodromos Kolyvakis, Alexandros Kalousis, and Dimitris Kiritsis. 2018 · 2018
Earlier work this paper cites.
Deep Learning for Entity Matching: A Design Space Exploration. In SIGMOD . ACM, Houston, TX, USA, 19–34
Sidharth Mudgal, Han Li, Theodoros Rekatsinas, AnHai Doan, Youngchoon Park, Ganesh Krishnan, Rohit Deep, Esteban Arcaute, and Vijay Raghavendra. 2018 · 2018
Earlier work this paper cites.
Bootstrapping Entity Alignment with Knowledge Graph Embedding. In IJCAI . IJCAI, Stockholm, Sweden, 4396–4402
Zequn Sun, Wei Hu, Qingheng Zhang, and Yuzhong Qu. 2018 · 2018
Earlier work this paper cites.
Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks. In EMNLP . ACL, Brussels, Belgium, 349–357
Zhichun Wang, Qingsong Lv, Xiaohan Lan, and Yu Zhang. 2018 · 2018
Earlier work this paper cites.
Multi-relational Poincaré Graph Embeddings. In NeurIPS . Curran Associates Inc., Vancouver, BC, Canada, 4465–4475
Ivana Balazevic, Carl Allen, and Timothy M. Hospedales. 2019 · 2019
Cited alongside, same era.
Multi-Channel Graph Neural Network for Entity Alignment. In ACL . ACL, Florence, Italy, 1452–1461
Yixin Cao, Zhiyuan Liu, Chengjiang Li, Zhiyuan Liu, Juanzi Li, and Tat-Seng Chua. 2019 · 2019
Cited alongside, same era.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL-HLT . ACL, Minneapolis, MN, USA, 4171–4186
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs. In ICML . PMLR, Long Beach, CA, USA, 2505–2514
Lingbing Guo, Zequn Sun, and Wei Hu. 2019 · 2019
Cited alongside, same era.
Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts. In KDD . ACM, Anchorage, AK, USA, 1709–1719
Composition-based Multi-Relational Graph Convolutional Networks. In ICLR . OpenReview.net, Addis Ababa, Ethiopia
Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, and Partha Talukdar. 2020 · 2020
Later among the works it cites.
CorDEL: A Contrastive Deep Learning Approach for Entity Linkage. In ICDM . IEEE, Sorrento, Italy, 1322–1327
Zhengyang Wang, Bunyamin Sisman, Hao Wei, Xin Luna Dong, and Shuiwang Ji. 2020 · 2020
Later among the works it cites.
Collective Entity Alignment via Adaptive Features. In ICDE . IEEE, Dallas, TX, USA, 1870–1873
Weixin Zeng, Xiang Zhao, Jiuyang Tang, and Xuemin Lin. 2020 · 2020
Later among the works it cites.
Collective Multi-type Entity Alignment Between Knowledge Graphs. In WWW . ACM/IW3C2, Taipei, Taiwan, 2241–2252
Qi Zhu, Hao Wei, Bunyamin Sisman, Da Zheng, Christos Faloutsos, Xin Luna Dong, and Jiawei Han. 2020 · 2020
Later among the works it cites.
Augmenting Ontology Alignment by Semantic Embedding and Distant Supervision. In ESWC . Springer, Online, 392–408
Jiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks, Denvar Antonyrajah, Ali Hadian, and Jaehun Lee. 2021 · 2021
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Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, and Wei Wang. 2019 · 2019
Cited alongside, same era.
Unsupervised Entity Alignment Using Attribute Triples and Relation Triples. In DASFAA . Springer, Chiang Mai, Thailand, 367–382
Fuzhen He, Zhixu Li, Qiang Yang, An Liu, Guanfeng Liu, Pengpeng Zhao, Lei Zhao, Min Zhang, and Zhigang Chen. 2019 · 2019
Cited alongside, same era.
Low-resource Deep Entity Resolution with Transfer and Active Learning. In ACL . ACL, Florence, Italy, 5851–5861
Jungo Kasai, Kun Qian, Sairam Gurajada, Yunyao Li, and Lucian Popa. 2019 · 2019
Cited alongside, same era.
Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model. In EMNLP-IJCNLP . ACL, Hong Kong, China, 2723–2732
Chengjiang Li, Yixin Cao, Lei Hou, Jiaxin Shi, Juanzi Li, and Tat-Seng Chua. 2019 · 2019
Cited alongside, same era.
Deep Sequence-to-Sequence Entity Matching for Heterogeneous Entity Resolution. In CIKM . ACM, Beijing, China, 629–638
Hao Nie, Xianpei Han, Ben He, Le Sun, Bo Chen, Wei Zhang, Suhui Wu, and Hao Kong. 2019 · 2019
Cited alongside, same era.
Improving Cross-lingual Entity Alignment via Optimal Transport. In IJCAI . IJCAI, Macao, China, 3231–3237
Shichao Pei, Lu Yu, and Xiangliang Zhang. 2019 · 2019
Cited alongside, same era.
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space. In ICLR . OpenReview.net, New Orleans, LA, USA
Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, and Jian Tang. 2019 · 2019
Cited alongside, same era.
Entity Alignment between Knowledge Graphs Using Attribute Embeddings. In AAAI . AAAI Press, Honolulu, HI, USA, 297–304
Bayu Distiawan Trisedya, Jianzhong Qi, and Rui Zhang. 2019 · 2019
Cited alongside, same era.
Later among the works it cites.
LargeEA: Aligning Entities for Large-scale Knowledge Graphs
Congcong Ge, Xiaoze Liu, Lu Chen, Baihua Zheng, and Yunjun Gao. 2021 · 2021
Later among the works it cites.
Deep Indexed Active Learning for Matching Heterogeneous Entity Representations
Arjit Jain, Sunita Sarawagi, and Prithviraj Sen. 2021 · 2021
Later among the works it cites.
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, and Philip S. Yu. 2021 · 2021
Later among the works it cites.
Boosting the Speed of Entity Alignment 10×: Dual Attention Matching Network with Normalized Hard Sample Mining. In WWW . ACM/IW3C2, Ljubljana, Slovenia, 821–832
Xin Mao, Wenting Wang, Yuanbin Wu, and Man Lan. 2021 · 2021
Later among the works it cites.
Knowing the No-match: Entity Alignment with Dangling Cases. In ACL-IJCNLP . ACL, Online, 3582–3593
Zequn Sun, Muhao Chen, and Wei Hu. 2021 · 2021
Later among the works it cites.
Multi-modal Siamese Network for Entity Alignment. In KDD . ACM, Washington, D.C., USA, 118–126
Liyi Chen, Zhi Li, Tong Xu, Han Wu, Zhefeng Wang, Nicholas Jing Yuan, and Enhong Chen. 2022 · 2022
Later among the works it cites.
ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities. In KDD . ACM, Washington D.C., USA, 421–431
Yunjun Gao, Xiaoze Liu, Junyang Wu, Tianyi Li, Pengfei Wang, and Lu Chen. 2022 · 2022
Later among the works it cites.
BERTMap: A BERT-Based Ontology Alignment System. In AAAI . AAAI Press, Online, 5684–5691
Yuan He, Jiaoyan Chen, Denvar Antonyrajah, and Ian Horrocks. 2022 · 2022
Later among the works it cites.
A Critical Re-evaluation of Neural Methods for Entity Alignment
Manuel Leone, Stefano Huber, Akhil Arora, Alberto García-Durán, and Robert West. 2022 · 2022
Later among the works it cites.
Dangling-Aware Entity Alignment with Mixed High-Order Proximities. In NAACL-HLT (Findings) . ACL, Seattle, WA, USA, 1172–1184
Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, and Muhao Chen. 2022 · 2022
Later among the works it cites.
Active Deep Learning on Entity Resolution by Risk Sampling
Youcef Nafa, Qun Chen, Zhaoqiang Chen, Xingyu Lu, Haiyang He, Tianyi Duan, and Zhanhuai Li. 2022 · 2022
Later among the works it cites.
Analyzing How BERT Performs Entity Matching
Matteo Paganelli, Francesco Del Buono, Andrea Baraldi, and Francesco Guerra. 2022 · 2022
Later among the works it cites.
A Survey of Deep Active Learning
Pengzhen Ren, Yun Xiao, Xiaojun Chang, Po-Yao Huang, Zhihui Li, Brij B. Gupta, Xiaojiang Chen, and Xin Wang. 2022 · 2022
Later among the works it cites.
On Entity Alignment at Scale
Weixin Zeng, Xiang Zhao, Xinyi Li, Jiuyang Tang, and Wei Wang. 2022 · 2022
Later among the works it cites.
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
Later among the works it cites.
An Experimental Study of State-of-the-Art Entity Alignment Approaches
Xiang Zhao, Weixin Zeng, Jiuyang Tang, Wei Wang, and Fabian Suchanek. 2022 · 2022
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Deep Entity Matching with Adversarial Active Learning
Jiacheng Huang, Wei Hu, Zhifeng Bao, Qijin Chen, and Yuzhong Qu. 2023 · 2023
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