{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T02:17:06Z","timestamp":1768443426001,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":52,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T00:00:00Z","timestamp":1715558400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Horizon Europe and Innovation Fund Denmark","award":["E115712"],"award-info":[{"award-number":["E115712"]}]},{"name":"PNRR MUR","award":["PE0000013-FAIR,IR0000013-SoBigData.it"],"award-info":[{"award-number":["PE0000013-FAIR,IR0000013-SoBigData.it"]}]},{"name":"MUR PRIN","award":["2022EKNE5K"],"award-info":[{"award-number":["2022EKNE5K"]}]},{"name":"Danish Council for Independent Research","award":["DFF-1051-00062B"],"award-info":[{"award-number":["DFF-1051-00062B"]}]},{"DOI":"10.13039\/501100006374","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["202110320012"],"award-info":[{"award-number":["202110320012"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]},{"name":"EC H2020RIA","award":["871042"],"award-info":[{"award-number":["871042"]}]},{"name":"European Commission - NextGenerationEU","award":["Project ECS 0000024 Rome Technopole - CUP B83C2200282000"],"award-info":[{"award-number":["Project ECS 0000024 Rome Technopole - CUP B83C2200282000"]}]},{"name":"ERC Advanced Grant","award":["788893"],"award-info":[{"award-number":["788893"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,5,13]]},"DOI":"10.1145\/3589334.3645430","type":"proceedings-article","created":{"date-parts":[[2024,5,8]],"date-time":"2024-05-08T07:08:13Z","timestamp":1715152093000},"page":"2009-2019","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["ReliK: A Reliability Measure for Knowledge Graph Embeddings"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-4473-4984","authenticated-orcid":false,"given":"Maximilian K.","family":"Egger","sequence":"first","affiliation":[{"name":"Aarhus University, Aarhus, Denmark"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0673-2267","authenticated-orcid":false,"given":"Wenyue","family":"Ma","sequence":"additional","affiliation":[{"name":"Aarhus University, Aarhus, Denmark"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8256-2258","authenticated-orcid":false,"given":"Davide","family":"Mottin","sequence":"additional","affiliation":[{"name":"Aarhus University, Aarhus, Denmark"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0509-9129","authenticated-orcid":false,"given":"Panagiotis","family":"Karras","sequence":"additional","affiliation":[{"name":"U. of Copenhagen & Aarhus U., Copenhagen, Denmark"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4847-9968","authenticated-orcid":false,"given":"Ilaria","family":"Bordino","sequence":"additional","affiliation":[{"name":"UniCredit, Rome, European Union"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7052-1114","authenticated-orcid":false,"given":"Francesco","family":"Gullo","sequence":"additional","affiliation":[{"name":"UniCredit, Rome, European Union"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9183-7911","authenticated-orcid":false,"given":"Aris","family":"Anagnostopoulos","sequence":"additional","affiliation":[{"name":"Sapienza University of Rome, Rome, Italy"}]}],"member":"320","published-online":{"date-parts":[[2024,5,13]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"VLDB","volume":"1215","author":"Agrawal Rakesh","year":"1994","unstructured":"Rakesh Agrawal, Ramakrishnan Srikant, et al. 1994. Fast algorithms for mining association rules. In VLDB, Vol. 1215. Santiago, Chile, 487--499."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3124805"},{"key":"e_1_3_2_2_3_1","unstructured":"Yushi Bai Xin Lv Juanzi Li and Lei Hou. 2023. Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization. (2023)."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"crossref","unstructured":"Ivana Balazevic Carl Allen and Timothy Hospedales. 2019. TuckER: Tensor Factorization for Knowledge Graph Completion. In 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing. Association for Computational Linguistics 5184--5193.","DOI":"10.18653\/v1\/D19-1522"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"crossref","unstructured":"Satadisha Saha Bhowmick Eduard C. Dragut and Weiyi Meng. 2023. Globally Aware Contextual Embeddings for Named Entity Recognition in Social Media Streams. In ICDE. 1544--1557.","DOI":"10.1109\/ICDE55515.2023.00122"},{"key":"e_1_3_2_2_6_1","volume-title":"Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges","author":"Bianchi Federico","unstructured":"Federico Bianchi, Gaetano Rossiello, Luca Costabello, Matteo Palmonari, and Pasquale Minervini. 2020. Knowledge Graph Embeddings and Explainable AI. In Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges. IOS Press, 49--72."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"crossref","unstructured":"Kurt Bollacker Colin Evans Praveen Paritosh Tim Sturge and Jamie Taylor. 2008. Freebase: a collaboratively created graph database for structuring human knowledge. In SIGMOD. 1247--1250.","DOI":"10.1145\/1376616.1376746"},{"key":"e_1_3_2_2_8_1","volume-title":"NeurIPS","volume":"26","author":"Bordes Antoine","year":"2013","unstructured":"Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. NeurIPS , Vol. 26 (2013)."},{"key":"e_1_3_2_2_9_1","unstructured":"Guillaume Bouchard Sameer Singh and Theo Trouillon. 2015. On approximate reasoning capabilities of low-rank vector spaces. In AAAI."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"crossref","unstructured":"Linlin Chao Jianshan He Taifeng Wang and Wei Chu. 2021. PairRE: Knowledge Graph Embeddings via Paired Relation Vectors. In ACL. 4360--4369.","DOI":"10.18653\/v1\/2021.acl-long.336"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.5555\/646688.702972"},{"key":"e_1_3_2_2_12_1","volume-title":"Mean Reciprocal Rank. Encyclopedia of database systems","author":"Craswell Nick","year":"2009","unstructured":"Nick Craswell. 2009. Mean Reciprocal Rank. Encyclopedia of database systems , Vol. 1703 (2009)."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"crossref","unstructured":"Caglar Demir Julian Lienen and Axel-Cyrille Ngonga Ngomo. 2022. Kronecker decomposition for knowledge graph embeddings. In HT. 1--10.","DOI":"10.1145\/3511095.3531276"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"crossref","unstructured":"Omkar Deshpande Digvijay S Lamba Michel Tourn Sanjib Das Sri Subramaniam Anand Rajaraman Venky Harinarayan and AnHai Doan. 2013. Building maintaining and using knowledge bases: a report from the trenches. In SIGMOD. 1209--1220.","DOI":"10.1145\/2463676.2465297"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11573"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-015-0394-1"},{"key":"e_1_3_2_2_17_1","volume-title":"Suchanek","author":"Luis Antonio","year":"2013","unstructured":"Luis Antonio Gal\u00e1 rraga, Christina Teflioudi, Katja Hose, and Fabian M. Suchanek. 2013. AMIE: association rule mining under incomplete evidence in ontological knowledge bases. In TheWebConf. 413--422."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1963.10500830"},{"key":"e_1_3_2_2_19_1","volume-title":"YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia. Artificial intelligence","author":"Hoffart Johannes","year":"2013","unstructured":"Johannes Hoffart, Fabian M Suchanek, Klaus Berberich, and Gerhard Weikum. 2013. YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia. Artificial intelligence , Vol. 194 (2013), 28--61."},{"key":"e_1_3_2_2_20_1","volume-title":"Roberto Navigli, Sebastian Neumaier, Axel-Cyrille Ngonga Ngomo, Axel Polleres, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan F. Sequeda, Steffen Staab, and Antoine Zimmermann.","author":"Hogan Aidan","year":"2022","unstructured":"Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard de Melo, Claudio Gutierrez, Sabrina Kirrane, Jos\u00e9 Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, Axel-Cyrille Ngonga Ngomo, Axel Polleres, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan F. Sequeda, Steffen Staab, and Antoine Zimmermann. 2022. Knowledge Graphs. ACM CSUR, Vol. 54, 4 (2022), 71:1--71:37."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589304"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"crossref","unstructured":"Nitisha Jain Jan-Christoph Kalo Wolf-Tilo Balke and Ralf Krestel. 2021. Do Embeddings Actually Capture Knowledge Graph Semantics?. In ESWC. 143--159.","DOI":"10.1007\/978-3-030-77385-4_9"},{"key":"e_1_3_2_2_23_1","volume-title":"Sur les fonctions convexes et les in\u00e9galit\u00e9s entre les valeurs moyennes. Acta mathematica","author":"William Valdemar Jensen Johan Ludwig","year":"1906","unstructured":"Johan Ludwig William Valdemar Jensen. 1906. Sur les fonctions convexes et les in\u00e9galit\u00e9s entre les valeurs moyennes. Acta mathematica, Vol. 30, 1 (1906), 175--193."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3070843"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2737817.2737822"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"crossref","unstructured":"Michael Loster Davide Mottin Paolo Papotti Jan Ehm\u00fcller Benjamin Feldmann and Felix Naumann. 2021. Few-shot knowledge validation using rules. In TheWebConf. 3314--3324.","DOI":"10.1145\/3442381.3450040"},{"key":"e_1_3_2_2_27_1","first-page":"3104482","article-title":"A three-way model for collective learning on multi-relational data","volume":"11","author":"Nickel Maximilian","year":"2011","unstructured":"Maximilian Nickel, Volker Tresp, Hans-Peter Kriegel, et al. 2011. A three-way model for collective learning on multi-relational data.. In ICML, Vol. 11. 3104482--3104584.","journal-title":"ICML"},{"key":"e_1_3_2_2_28_1","volume-title":"Venkata Vamsikrishna Meduri, and Paolo Papotti","author":"Ortona Stefano","year":"2018","unstructured":"Stefano Ortona, Venkata Vamsikrishna Meduri, and Paolo Papotti. 2018. Robust discovery of positive and negative rules in knowledge bases. In ICDE. 1168--1179."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2010.157"},{"key":"e_1_3_2_2_30_1","unstructured":"Heiko Paulheim. 2018. Make embeddings semantic again!. In ISWC."},{"key":"e_1_3_2_2_31_1","first-page":"19716","article-title":"Beta embeddings for multi-hop logical reasoning in knowledge graphs","volume":"33","author":"Ren Hongyu","year":"2020","unstructured":"Hongyu Ren and Jure Leskovec. 2020. Beta embeddings for multi-hop logical reasoning in knowledge graphs. Advances in Neural Information Processing Systems , Vol. 33 (2020), 19716--19726.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"crossref","unstructured":"Tara Safavi and Danai Koutra. 2020. CoDEx: A Comprehensive Knowledge Graph Completion Benchmark. In EMNLP. 8328--8350.","DOI":"10.18653\/v1\/2020.emnlp-main.669"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"crossref","unstructured":"Tara Safavi Danai Koutra and Edgar Meij. 2020. Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction. In EMNLP.","DOI":"10.18653\/v1\/2020.emnlp-main.667"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2598561"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"crossref","unstructured":"Fabian M Suchanek Gjergji Kasneci and Gerhard Weikum. 2007. Yago: a core of semantic knowledge. In TheWebConf. 697--706.","DOI":"10.1145\/1242572.1242667"},{"key":"e_1_3_2_2_36_1","unstructured":"Zhiqing Sun Zhi-Hong Deng Jian-Yun Nie and Jian Tang. 2019. RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space. In ICLR."},{"key":"e_1_3_2_2_37_1","unstructured":"Pedro Tabacof and Luca Costabello. 2020. Probability Calibration for Knowledge Graph Embedding Models. In ICLR."},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"crossref","unstructured":"Sudhanshu Tiwari Iti Bansal and Carlos R Rivero. 2021. Revisiting the evaluation protocol of knowledge graph completion methods for link prediction. In TheWebConf. 809--820.","DOI":"10.1145\/3442381.3449856"},{"key":"e_1_3_2_2_39_1","volume-title":"Fast random walk with restart and its applications","author":"Tong Hanghang","unstructured":"Hanghang Tong, Christos Faloutsos, and Jia-Yu Pan. 2006. Fast random walk with restart and its applications. In ICDM. IEEE, 613--622."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W15-4007"},{"key":"e_1_3_2_2_41_1","volume-title":"ICML. PMLR","author":"Trouillon Th\u00e9o","year":"2016","unstructured":"Th\u00e9o Trouillon, Johannes Welbl, Sebastian Riedel, \u00c9ric Gaussier, and Guillaume Bouchard. 2016. Complex embeddings for simple link prediction. In ICML. PMLR, 2071--2080."},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.14778\/3447689.3447713"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02289464"},{"key":"e_1_3_2_2_44_1","volume-title":"Composition-based Multi-Relational Graph Convolutional Networks. In International Conference on Learning Representations.","author":"Vashishth Shikhar","year":"2019","unstructured":"Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, and Partha Talukdar. 2019. Composition-based Multi-Relational Graph Convolutional Networks. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2754499"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.fmre.2021.09.003"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.14778\/3476311.3476393"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"crossref","unstructured":"Yuhan Wu Yuanyuan Xu Xuemin Lin and Wenjie Zhang. 2023. A Holistic Approach for Answering Logical Queries on Knowledge Graphs. In ICDE. 2345--2357.","DOI":"10.1109\/ICDE55515.2023.00181"},{"key":"e_1_3_2_2_49_1","volume-title":"Xiaodong He, Jianfeng Gao, and Li Deng.","author":"Yang Bishan","year":"2015","unstructured":"Bishan Yang, Scott Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. 2015. Embedding Entities and Relations for Learning and Inference in Knowledge Bases. In ICLR."},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.3390\/info13080396"},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.14778\/3598581.3598594"},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"crossref","unstructured":"Ziyue Zhong Meihui Zhang Ju Fan and Chenxiao Dou. 2022. Semantics Driven Embedding Learning for Effective Entity Alignment. In ICDE. 2127--2140.","DOI":"10.1109\/ICDE53745.2022.00205"}],"event":{"name":"WWW '24: The ACM Web Conference 2024","location":"Singapore Singapore","acronym":"WWW '24","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the ACM Web Conference 2024"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589334.3645430","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3589334.3645430","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:26:29Z","timestamp":1755822389000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589334.3645430"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,13]]},"references-count":52,"alternative-id":["10.1145\/3589334.3645430","10.1145\/3589334"],"URL":"https:\/\/doi.org\/10.1145\/3589334.3645430","relation":{},"subject":[],"published":{"date-parts":[[2024,5,13]]},"assertion":[{"value":"2024-05-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}