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Entity alignment (EA) aims to merge two knowledge graphs (KGs) by identifying equivalent entity pairs.
Arnetminer: extraction and mining of academic social networks
Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang, and Zhong Su · 2008
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From information to knowledge: harvesting entities and relationships from web sources
Gerhard Weikum and Martin Theobald · 2010
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Logmap: Logic-based and scalable ontology matching
Ernesto Jiménez-Ruiz and Bernardo Cuenca Grau · 2011
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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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More accurate question answering on freebase
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Personalized recommendations using knowledge graphs: A probabilistic logic programming approach
Rose Catherine and William Cohen · 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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Bootstrapping entity alignment with knowledge graph embedding
Zequn Sun, Wei Hu, Qingheng Zhang, and Yuzhong Qu · 2018
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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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Unsupervised entity alignment using attribute triples and relation triples
Fuzhen He, Zhixu Li, Yang Qiang, An Liu, Guanfeng Liu, Pengpeng Zhao, Lei Zhao, Min Zhang, and Zhigang Chen · 2019
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Probabilistic logic neural networks for reasoning
Meng Qu and Jian Tang · 2019
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Relation-aware entity alignment for heterogeneous knowledge graphs
Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Rui Yan, and Dongyan Zhao · 2019
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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
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Bert-int:a bert-based interaction model for knowledge graph alignment
Xiaobin Tang, Jing Zhang, Bo Chen, Yang Yang, Hong Chen, and Cuiping Li · 2020
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Efficient probabilistic logic reasoning with graph neural networks
Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, and Le Song · 2020
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Boosting the speed of entity alignment 10 × \times : Dual attention matching network with normalized hard sample mining
Xin Mao, Wenting Wang, Yuanbin Wu, and Man Lan · 2021
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Aligning distillation for cold-start item recommendation
Feiran Huang, Zefan Wang, Xiao Huang, Yufeng Qian, Zhetao Li, and Hao Chen · 2023
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A survey of graph meets large language model: Progress and future directions
Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, and Jeffrey Xu Yu · 2023
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Towards personalized cold-start recommendation with prompts
Xuansheng Wu, Huachi Zhou, Wenlin Yao, Xiao Huang, and Ninghao Liu · 2023
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From alignment to entailment: A unified textual entailment framework for entity alignment
Yu Zhao, Yike Wu, Xiangrui Cai, Ying Zhang, Haiwei Zhang, and Xiaojie Yuan · 2023
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Macro graph neural networks for online billion-scale recommender systems
Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, and Xiao Huang · 2024
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Semantics driven embedding learning for effective entity alignment
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Label-free node classification on graphs with large language models (LLMs)
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Structure guided large language model for sql generation
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