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The objective of Entity Alignment (EA) is to identify equivalent entity pairs from multiple Knowledge Graphs (KGs) and create a more comprehensive and unified KG.
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Sinkhorn Distances: Lightspeed Computation of Optimal Transport. In NeurIPS . 2292–2300
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Wikidata: a free collaborative knowledgebase
Denny Vrandecic and Markus Krötzsch. 2014 · 2014
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Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment. In IJCAI . 1511–1517
Muhao Chen, Yingtao Tian, Mohan Yang, and Carlo Zaniolo. 2017 · 2017
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Semi-Supervised Classification with Graph Convolutional Networks. In ICLR
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Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding. In ISWC . 628–644
Zequn Sun, Wei Hu, and Chengkai Li. 2017 · 2017
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Iterative Entity Alignment via Joint Knowledge Embeddings. In IJCAI . 4258–4264
Hao Zhu, Ruobing Xie, Zhiyuan Liu, and Maosong Sun. 2017 · 2017
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Learning Sequence Encoders for Temporal Knowledge Graph Completion. In EMNLP . 4816–4821
Alberto García-Durán, Sebastijan Dumancic, and Mathias Niepert. 2018 · 2018
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Bootstrapping Entity Alignment with Knowledge Graph Embedding. In IJCAI . 4396–4402
Zequn Sun, Wei Hu, Qingheng Zhang, and Yuzhong Qu. 2018 · 2018
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Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks. In EMNLP . 349–357
Zhichun Wang, Qingsong Lv, Xiaohan Lan, and Yu Zhang. 2018 · 2018
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Unsupervised Entity Alignment Using Attribute Triples and Relation Triples. In DASFAA , Vol. 11446. 367–382
Fuzhen He, Zhixu Li, Qiang Yang, An Liu, Guanfeng Liu, Pengpeng Zhao, Lei Zhao, Min Zhang, and Zhigang Chen. 2019 · 2019
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Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model. In EMNLP . 2723–2732
Chengjiang Li, Yixin Cao, Lei Hou, Jiaxin Shi, Juanzi Li, and Tat-Seng Chua. 2019 · 2019
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019b · 2019
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Semi-Supervised Entity Alignment via Knowledge Graph Embedding with Awareness of Degree Difference. In WWW . 3130–3136
Shichao Pei, Lu Yu, Robert Hoehndorf, and Xiangliang Zhang. 2019 · 2019
Cited alongside, same era.
TransEdge: Translating Relation-Contextualized Embeddings for Knowledge Graphs. In ISWC . 612–629
Zequn Sun, JiaCheng Huang, Wei Hu, Muhao Chen, Lingbing Guo, and Yuzhong Qu. 2019 · 2019
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Entity Alignment between Knowledge Graphs Using Attribute Embeddings. In AAAI . 297–304
Bayu Distiawan Trisedya, Jianzhong Qi, and Rui Zhang. 2019 · 2019
Cited alongside, same era.
MMEA: Entity Alignment for Multi-modal Knowledge Graph. In KSEM . 134–147
Liyi Chen, Zhi Li, Yijun Wang, Tong Xu, Zhefeng Wang, and Enhong Chen. 2020 · 2020
Cited alongside, same era.
Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment. In EMNLP . 6355–6364
Zhiyuan Liu, Yixin Cao, Liangming Pan, Juanzi Li, and Tat-Seng Chua. 2020 · 2020
Cited alongside, same era.
MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid
Zhuo Chen, Jiaoyan Chen, Wen Zhang, Lingbing Guo, Yin Fang, Yufeng Huang, Yuxia Geng, Jeff Z. Pan, Wenting Song, and Huajun Chen. 2022a · 2022
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ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities. In KDD . 421–431
Yunjun Gao, Xiaoze Liu, Junyang Wu, Tianyi Li, Pengfei Wang, and Lu Chen. 2022 · 2022
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LargeEA: Aligning Entities for Large-scale Knowledge Graphs
Congcong Ge, Xiaoze Liu, Lu Chen, Baihua Zheng, and Yunjun Gao. 2022 · 2022
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Chengyue Jiang, Yong Jiang, Weiqi Wu, Pengjun Xie, and Kewei Tu. 2022 · 2022
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Multi-modal Contrastive Representation Learning for Entity Alignment
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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. 2020c · 2020
Cited alongside, same era.
Collective Entity Alignment via Adaptive Features. In ICDE . 1870–1873
Weixin Zeng, Xiang Zhao, Jiuyang Tang, and Xuemin Lin. 2020 · 2020
Cited alongside, same era.
Cross-lingual entity alignment with incidental supervision. In EACL . 645–658
Muhao Chen, Weijia Shi, Ben Zhou, and Dan Roth. 2021 · 2021
Cited alongside, same era.
Make It Easy: An Effective End-to-End Entity Alignment Framework. In SIGIR . 777–786
Congcong Ge, Xiaoze Liu, Lu Chen, Baihua Zheng, and Yunjun Gao. 2021 · 2021
Cited alongside, same era.
Semi-supervised Relation Extraction via Incremental Meta Self-Training. In Findings of EMNLP . 487–496
Xuming Hu, Fukun Ma, Chenyao Liu, Chenwei Zhang, Lijie Wen, and Philip S Yu. 2021 · 2021
Cited alongside, same era.
Knowing the No-match: Entity Alignment with Dangling Cases. In ACL . 3582–3593
Zequn Sun, Muhao Chen, and Wei Hu. 2021 · 2021
Cited alongside, same era.
Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs. In EMNLP . 8999–9010
Chengjin Xu, Fenglong Su, and Jens Lehmann. 2021 · 2021
Cited alongside, same era.
Zhenxi Lin, Ziheng Zhang, Meng Wang, Yinghui Shi, Xian Wu, and Yefeng Zheng. 2022 · 2022
Later among the works it cites.
Neutronstar: distributed GNN training with hybrid dependency management. In Proceedings of the 2022 International Conference on Management of Data . 1301–1315
Qiange Wang, Yanfeng Zhang, Hao Wang, Chaoyi Chen, Xiaodong Zhang, and Ge Yu. 2022 · 2022
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Time-aware Entity Alignment using Temporal Relational Attention. In WWW . 788–797
Chengjin Xu, Fenglong Su, Bo Xiong, and Jens Lehmann. 2022 · 2022
Later among the works it cites.
DGI: Easy and Efficient Inference for GNNs
Peiqi Yin, Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, and Minjie Wang. 2022 · 2022
Later among the works it cites.
Pay More Attention to Relation Exploration for Knowledge Base Question Answering
Yong Cao, Xianzhi Li, Huiwen Liu, Wen Dai, Shuai Chen, Bin Wang, Min Chen, and Daniel Hershcovich. 2023 · 2023
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Vision, Deduction and Alignment: An Empirical Study on Multi-Modal Knowledge Graph Alignment. In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 1–5
Yangning Li, Jiaoyan Chen, Yinghui Li, Yuejia Xiang, Xi Chen, and Hai-Tao Zheng. 2023a · 2023
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Unsupervised Entity Alignment for Temporal Knowledge Graphs. In WWW . 2528–2538
Xiaoze Liu, Junyang Wu, Tianyi Li, Lu Chen, and Yunjun Gao. 2023 · 2023
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Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness
Zeyuan Tan, Xiulong Yuan, Congjie He, Man-Kit Sit, Guo Li, Xiaoze Liu, Baole Ai, Kai Zeng, Peter Pietzuch, and Luo Mai. 2023 · 2023
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HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management. In 2023 IEEE 39th International Conference on Data Engineering (ICDE) . IEEE, 558–571
Qiange Wang, Xin Ai, Yanfeng Zhang, Jing Chen, and Ge Yu. 2023 · 2023
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