{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T12:20:12Z","timestamp":1764937212607,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":42,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T00:00:00Z","timestamp":1603065600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"NEDO"},{"name":"JSPS Grant-in-Aid for Early-Career Scientists","award":["19K20352"],"award-info":[{"award-number":["19K20352"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,19]]},"DOI":"10.1145\/3340531.3412028","type":"proceedings-article","created":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T06:32:45Z","timestamp":1603089165000},"page":"685-694","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["Towards Temporal Knowledge Graph Embeddings with Arbitrary Time Precision"],"prefix":"10.1145","author":[{"given":"Julien","family":"Leblay","sequence":"first","affiliation":[{"name":"Rakuten, Inc., Tokyo, Japan"}]},{"given":"Melisachew Wudage","family":"Chekol","sequence":"additional","affiliation":[{"name":"Utrecht University, Utrecht, Netherlands"}]},{"given":"Xin","family":"Liu","sequence":"additional","affiliation":[{"name":"AIRC\/RWBC-OIL, AIST, Tokyo, Japan"}]}],"member":"320","published-online":{"date-parts":[[2020,10,19]]},"reference":[{"unstructured":"Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Advances in neural information processing systems. 2787--2795.  Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Advances in neural information processing systems. 2787--2795.","key":"e_1_3_2_2_1_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_2_1","DOI":"10.1109\/TKDE.2018.2807452"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_3_1","DOI":"10.1109\/TKDE.2018.2807452"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_4_1","DOI":"10.1109\/TKDE.2018.2849727"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_5_1","DOI":"10.18653\/v1\/D18-1225"},{"key":"e_1_3_2_2_6_1","volume-title":"Temporal link prediction using matrix and tensor factorizations. ACM Transactions on Knowledge Discovery from Data (TKDD)","author":"Dunlavy Daniel M","year":"2011","unstructured":"Daniel M Dunlavy , Tamara G Kolda , and Evrim Acar . 2011. Temporal link prediction using matrix and tensor factorizations. ACM Transactions on Knowledge Discovery from Data (TKDD) , Vol. 5 , 2 ( 2011 ), 10. Daniel M Dunlavy, Tamara G Kolda, and Evrim Acar. 2011. Temporal link prediction using matrix and tensor factorizations. ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 5, 2 (2011), 10."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_7_1","DOI":"10.18653\/v1\/D15-1034"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_8_1","DOI":"10.18653\/v1\/D18-1516"},{"key":"e_1_3_2_2_9_1","volume-title":"Marcus Brubaker, and Pascal Poupart.","author":"Goel Rishab","year":"2019","unstructured":"Rishab Goel , Seyed Mehran Kazemi , Marcus Brubaker, and Pascal Poupart. 2019 . Diachronic Embedding for Temporal Knowledge Graph Completion . arXiv preprint arXiv:1907.03143 (2019). Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker, and Pascal Poupart. 2019. Diachronic Embedding for Temporal Knowledge Graph Completion. arXiv preprint arXiv:1907.03143 (2019)."},{"key":"e_1_3_2_2_10_1","first-page":"52","article-title":"Representation learning on graphs: methods and applications","volume":"40","author":"Hamilton William L","year":"2017","unstructured":"William L Hamilton , Rex Ying , and Jure Leskovec . 2017 . Representation learning on graphs: methods and applications . IEEE Data Engineering Bulletin , Vol. 40 (2017), 52 -- 74 . William L Hamilton, Rex Ying, and Jure Leskovec. 2017. Representation learning on graphs: methods and applications. IEEE Data Engineering Bulletin, Vol. 40 (2017), 52--74.","journal-title":"IEEE Data Engineering Bulletin"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_11_1","DOI":"10.1007\/978-3-030-00671-6_5"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_12_1","DOI":"10.1145\/1963192.1963296"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_13_1","DOI":"10.3115\/v1\/P15-1067"},{"key":"e_1_3_2_2_14_1","volume-title":"Towards Time-Aware Knowledge Graph Completion. In COLING 2016, 26th International Conference on Computational Linguistics, Proceedings of the Conference: Technical Papers, December 11--16","author":"Jiang Tingsong","year":"2016","unstructured":"Tingsong Jiang , Tianyu Liu , Tao Ge , Lei Sha , Baobao Chang , Sujian Li , and Zhifang Sui . 2016 a. Towards Time-Aware Knowledge Graph Completion. In COLING 2016, 26th International Conference on Computational Linguistics, Proceedings of the Conference: Technical Papers, December 11--16 , 2016, Osaka, Japan. 1715--1724. Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Baobao Chang, Sujian Li, and Zhifang Sui. 2016a. Towards Time-Aware Knowledge Graph Completion. In COLING 2016, 26th International Conference on Computational Linguistics, Proceedings of the Conference: Technical Papers, December 11--16, 2016, Osaka, Japan. 1715--1724."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_15_1","DOI":"10.18653\/v1\/D16-1260"},{"key":"e_1_3_2_2_16_1","volume-title":"Recurrent Event Network for Reasoning over Temporal Knowledge Graphs. arXiv preprint arXiv:1904.05530","author":"Jin Woojeong","year":"2019","unstructured":"Woojeong Jin , He Jiang , Changlin Zhang , Pedro Szekely , and Xiang Ren . 2019. Recurrent Event Network for Reasoning over Temporal Knowledge Graphs. arXiv preprint arXiv:1904.05530 ( 2019 ). Woojeong Jin, He Jiang, Changlin Zhang, Pedro Szekely, and Xiang Ren. 2019. Recurrent Event Network for Reasoning over Temporal Knowledge Graphs. arXiv preprint arXiv:1904.05530 (2019)."},{"key":"e_1_3_2_2_17_1","volume-title":"Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey. arXiv preprint arXiv:1905.11485","author":"Kazemi Seyed Mehran","year":"2019","unstructured":"Seyed Mehran Kazemi , Rishab Goel , Kshitij Jain , Ivan Kobyzev , Akshay Sethi , Peter Forsyth , and Pascal Poupart . 2019. Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey. arXiv preprint arXiv:1905.11485 ( 2019 ). Seyed Mehran Kazemi, Rishab Goel, Kshitij Jain, Ivan Kobyzev, Akshay Sethi, Peter Forsyth, and Pascal Poupart. 2019. Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey. arXiv preprint arXiv:1905.11485 (2019)."},{"key":"e_1_3_2_2_18_1","volume-title":"Deriving Validity Time in Knowledge Graph. In Companion of The Web Conference","author":"Leblay Julien","year":"2018","unstructured":"Julien Leblay and Melisachew Wudage Chekol . 2018 . Deriving Validity Time in Knowledge Graph. In Companion of The Web Conference 2018. 1771--1776. Julien Leblay and Melisachew Wudage Chekol. 2018. Deriving Validity Time in Knowledge Graph. In Companion of The Web Conference 2018. 1771--1776."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_19_1","DOI":"10.18653\/v1\/D15-1082"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_20_1","DOI":"10.5555\/2886521.2886624"},{"key":"e_1_3_2_2_21_1","volume-title":"Daxberger","author":"Ma Yunpu","year":"2019","unstructured":"Yunpu Ma , Volker Tresp , and Erik A . Daxberger . 2019 . Embedding models for episodic knowledge graphs. Joural of Web Semantics , Vol. 59 (2019). Yunpu Ma, Volker Tresp, and Erik A. Daxberger. 2019. Embedding models for episodic knowledge graphs. Joural of Web Semantics, Vol. 59 (2019)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_22_1","DOI":"10.18653\/v1\/N16-1054"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_23_1","DOI":"10.1109\/JPROC.2015.2483592"},{"key":"e_1_3_2_2_24_1","volume-title":"Proceedings of the 28th international conference on machine learning (ICML-11)","author":"Nickel Maximilian","year":"2011","unstructured":"Maximilian Nickel , Volker Tresp , and Hans-Peter Kriegel . 2011 . A three-way model for collective learning on multi-relational data . In Proceedings of the 28th international conference on machine learning (ICML-11) . 809--816. Maximilian Nickel, Volker Tresp, and Hans-Peter Kriegel. 2011. A three-way model for collective learning on multi-relational data. In Proceedings of the 28th international conference on machine learning (ICML-11). 809--816."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_25_1","DOI":"10.1109\/ICDM.2011.45"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_26_1","DOI":"10.1587\/transinf.E95.D.2664"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_27_1","DOI":"10.1109\/ICDM.2010.127"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_28_1","DOI":"10.1007\/978-3-319-07443-6_33"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_29_1","DOI":"10.1016\/j.websem.2018.09.002"},{"key":"e_1_3_2_2_30_1","volume-title":"Temporal Reasoning Over Event Knowledge Graphs. In KBCOM'18","author":"Sadeghian Ali","year":"2018","unstructured":"Ali Sadeghian , Miguel Rodriguez , Daisy Zhe Wang , and Anthony Colas . 2018 . Temporal Reasoning Over Event Knowledge Graphs. In KBCOM'18 , Feb 2018, Los Angeles, CA USA.,. Ali Sadeghian, Miguel Rodriguez, Daisy Zhe Wang, and Anthony Colas. 2018. Temporal Reasoning Over Event Knowledge Graphs. In KBCOM'18, Feb 2018, Los Angeles, CA USA.,."},{"key":"e_1_3_2_2_31_1","volume-title":"Temporal scoping of relational facts based on Wikipedia data. CoNLL-2014","author":"Sil Avirup","year":"2014","unstructured":"Avirup Sil and Silviu Cucerzan . 2014. Temporal scoping of relational facts based on Wikipedia data. CoNLL-2014 ( 2014 ), 109. Avirup Sil and Silviu Cucerzan. 2014. Temporal scoping of relational facts based on Wikipedia data. CoNLL-2014 (2014), 109."},{"key":"e_1_3_2_2_32_1","volume-title":"7th International Conference on Learning Representations, ICLR 2019","author":"Sun Zhiqing","year":"2019","unstructured":"Zhiqing Sun , Zhi-Hong Deng , Jian-Yun Nie , and Jian Tang . 2019 . Rotat E: Knowledge Graph Embedding by Relational Rotation in Complex Space . In 7th International Conference on Learning Representations, ICLR 2019 , New Orleans, LA, USA , May 6-9, 2019. Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, and Jian Tang. 2019. Rotat E: Knowledge Graph Embedding by Relational Rotation in Complex Space. In 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_33_1","DOI":"10.1145\/2124295.2124307"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_34_1","DOI":"10.1007\/978-3-319-58068-5_13"},{"key":"e_1_3_2_2_35_1","volume-title":"Proceedings of the 34th International Conference on Machine Learning","author":"Trivedi Rakshit","year":"2017","unstructured":"Rakshit Trivedi , Hanjun Dai , Yichen Wang , and Le Song . 2017 . Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs . In Proceedings of the 34th International Conference on Machine Learning , Sydney, NSW, Australia , 6-11 August 2017. 3462--3471. Rakshit Trivedi, Hanjun Dai, Yichen Wang, and Le Song. 2017. Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs. In Proceedings of the 34th International Conference on Machine Learning, Sydney, NSW, Australia, 6-11 August 2017. 3462--3471."},{"key":"e_1_3_2_2_36_1","volume-title":"International Conference on Machine Learning. 2071--2080","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 International Conference on Machine Learning. 2071--2080 . Th\u00e9o Trouillon, Johannes Welbl, Sebastian Riedel, \u00c9ric Gaussier, and Guillaume Bouchard. 2016. Complex embeddings for simple link prediction. In International Conference on Machine Learning. 2071--2080."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_37_1","DOI":"10.1145\/2629489"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_38_1","DOI":"10.1109\/TKDE.2017.2754499"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_39_1","DOI":"10.5555\/2893873.2894046"},{"doi-asserted-by":"crossref","unstructured":"Derry Tanti Wijaya Ndapandula Nakashole and Tom M Mitchell. 2014. CTPs: Contextual Temporal Profiles for Time Scoping Facts using State Change Detection. In EMNLP. 1930--1936.  Derry Tanti Wijaya Ndapandula Nakashole and Tom M Mitchell. 2014. CTPs: Contextual Temporal Profiles for Time Scoping Facts using State Change Detection. In EMNLP. 1930--1936.","key":"e_1_3_2_2_40_1","DOI":"10.3115\/v1\/D14-1207"},{"key":"e_1_3_2_2_41_1","volume-title":"Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition. arXiv preprint arXiv:1911.07893","author":"Xu Chengjin","year":"2019","unstructured":"Chengjin Xu , Mojtaba Nayyeri , Fouad Alkhoury , Jens Lehmann , and Hamed Shariat Yazdi . 2019. Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition. arXiv preprint arXiv:1911.07893 ( 2019 ). Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Jens Lehmann, and Hamed Shariat Yazdi. 2019. Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition. arXiv preprint arXiv:1911.07893 (2019)."},{"key":"e_1_3_2_2_42_1","volume-title":"Embedding entities and relations for learning and inference in knowledge bases. arXiv preprint arXiv:1412.6575","author":"Yang Bishan","year":"2014","unstructured":"Bishan Yang , Wen-tau Yih, Xiaodong He , Jianfeng Gao , and Li Deng . 2014. Embedding entities and relations for learning and inference in knowledge bases. arXiv preprint arXiv:1412.6575 ( 2014 ). Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. 2014. Embedding entities and relations for learning and inference in knowledge bases. arXiv preprint arXiv:1412.6575 (2014)."}],"event":{"sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"],"acronym":"CIKM '20","name":"CIKM '20: The 29th ACM International Conference on Information and Knowledge Management","location":"Virtual Event Ireland"},"container-title":["Proceedings of the 29th ACM International Conference on Information & Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3412028","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3340531.3412028","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:02:29Z","timestamp":1750197749000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3412028"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,19]]},"references-count":42,"alternative-id":["10.1145\/3340531.3412028","10.1145\/3340531"],"URL":"https:\/\/doi.org\/10.1145\/3340531.3412028","relation":{},"subject":[],"published":{"date-parts":[[2020,10,19]]},"assertion":[{"value":"2020-10-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}