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Link prediction on knowledge graphs (KGs) has been extensively studied on binary relational KGs, wherein each fact is represented by a triple.
Freebase: A shared database of structured general human knowledge
Kurt Bollacker, Robert Cook, and Patrick Tufts. 2007 · 1963
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Provenance semirings
Todd J Green, Grigoris Karvounarakis, and Val Tannen. 2007 · 2007
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A three-way model for collective learning on multi-relational data
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Translating embeddings for modeling multi-relational data
Antoine Bordes, Nicolas Usunier, Alberto García-Durán, Jason Weston, and Oksana Yakhnenko. 2013 · 2013
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Wikidata: a free collaborative knowledgebase
Denny Vrandečić and Markus Krötzsch. 2014 · 2014
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Knowledge graph embedding by translating on hyperplanes
Zhen Wang, Jianwen Zhang, Jianlin Feng, and Zheng Chen. 2014 · 2014
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On the representation and embedding of knowledge bases beyond binary relations
Jianfeng Wen, Jianxin Li, Yongyi Mao, Shini Chen, and Richong Zhang. 2016 · 2016
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Collaborative knowledge base embedding for recommender systems
Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie, and Wei-Ying Ma. 2016 · 2016
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Neural network-based question answering over knowledge graphs on word and character level
Denis Lukovnikov, Asja Fischer, Jens Lehmann, and Sören Auer. 2017 · 2017
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Knowledge graph completion via complex tensor factorization
Théo Trouillon, Christopher R Dance, Éric Gaussier, Johannes Welbl, Sebastian Riedel, and Guillaume Bouchard. 2017 · 2017
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Simple embedding for link prediction in knowledge graphs
Seyed Mehran Kazemi and David Poole. 2018 · 2018
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Probabilistic embedding of knowledge graphs with box lattice measures
Luke Vilnis, Xiang Li, Shikhar Murty, and Andrew McCallum. 2018 · 2018
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Scalable instance reconstruction in knowledge bases via relatedness affiliated embedding
Richong Zhang, Junpeng Li, Jiajie Mei, and Yongyi Mao. 2018 · 2018
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Tucker: Tensor factorization for knowledge graph completion
Ivana Balazevic, Carl Allen, and Timothy M. Hospedales. 2019 · 2019
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Link prediction on n-ary relational data
Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, and Xueqi Cheng. 2019 · 2019
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EL embeddings: Geometric construction of models for the description logic EL++
Maxat Kulmanov, Wang Liu-Wei, Yuan Yan, and Robert Hoehndorf. 2019 · 2019
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Rotate: Knowledge graph embedding by relational rotation in complex space
Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, and Jian Tang. 2019 · 2019
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Boxe: A box embedding model for knowledge base completion
Ralph Abboud, İsmail İlkan Ceylan, Thomas Lukasiewicz, and Tommaso Salvatori. 2020 · 2020
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Bias in knowledge graph embeddings
Styliani Bourli and Evaggelia Pitoura. 2020 · 2020
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Low-dimensional hyperbolic knowledge graph embeddings
Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, and Christopher Ré. 2020 · 2020
Rdf-star and sparql-star
Dörthe Arndt, Jeen Broekstra, Bob DuCharme, Ora Lassila, Peter F. Patel-Schneider, Eric Prud’hommeaux, Jr. Ted Thibodeau, and Bryan Thompson. 2021 · 2021
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Rml-star: A declarative mapping language for rdf-star generation
Thomas Delva, Julián Arenas-Guerrero, Ana Iglesias-Molina, Oscar Corcho, David Chaves-Fraga, and Anastasia Dimou. 2021 · 2021
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Searching to sparsify tensor decomposition for n-ary relational data
Shimin Di, Quanming Yao, and Lei Chen. 2021 · 2021
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Link prediction on n-ary relational data based on relatedness evaluation
Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo none Wang, and Xueqi Cheng. 2021 · 2021
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Role-aware modeling for n-ary relational knowledge bases
Yu Liu, Quanming Yao, and Yong Li. 2021b · 2021
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Link prediction on n-ary relational facts: A graph-based approach
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Knowledge hypergraphs: Prediction beyond binary relations
Bahare Fatemi, Perouz Taslakian, David Vázquez, and David Poole. 2020 · 2020
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Fairness-aware explainable recommendation over knowledge graphs
Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, et al. 2020 · 2020
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Message passing for hyper-relational knowledge graphs
Mikhail Galkin, Priyansh Trivedi, Gaurav Maheshwari, Ricardo Usbeck, and Jens Lehmann. 2020 · 2020
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Neuinfer: Knowledge inference on n-ary facts
Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, and Xueqi Cheng. 2020 · 2020
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Generalizing tensor decomposition for n-ary relational knowledge bases
Yu Liu, Quanming Yao, and Yong Li. 2020 · 2020
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Query2box: Reasoning over knowledge graphs in vector space using box embeddings
Hongyu Ren, Weihua Hu, and Jure Leskovec. 2020 · 2020
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Quan Wang, Haifeng Wang, Yajuan Lyu, and Yong Zhu. 2021 · 2021
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Improving hyper-relational knowledge graph completion
Donghan Yu and Yiming Yang. 2021 · 2021
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Cone: Cone embeddings for multi-hop reasoning over knowledge graphs
Zhanqiu Zhang, Jie Wang, Jiajun Chen, Shuiwang Ji, and Feng Wu. 2021 · 2021
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Modeling scale-free graphs with hyperbolic geometry for knowledge-aware recommendation
Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jianye Hao, and Irwin King. 2022 · 2022
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Learning representations for hyper-relational knowledge graphs
Harry Shomer, Wei Jin, Juan-Hui Li, Yao Ma, and Jiliang Tang. 2022 · 2022
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Modeling relational patterns for logical query answering over knowledge graphs
Yunjie He, Mojtaba Nayyeri, Bo Xiong, Evgeny Kharlamov, and Steffen Staab. 2023 · 2023
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Hiprompt: Few-shot biomedical knowledge fusion via hierarchy-oriented prompting
Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, and Carl Yang. 2023 · 2023
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Geometric relational embeddings: A survey
Bo Xiong, Mojtaba Nayyeri, Ming Jin, Yunjie He, Michael Cochez, Shirui Pan, and Steffen Staab. 2023 · 2023
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Complex embeddings for simple link prediction
Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, and Guillaume Bouchard. 2016 · 2080
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