{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T06:45:26Z","timestamp":1792824326936,"version":"4.5.0"},"publisher-location":"New York, NY, USA","reference-count":21,"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:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,5,13]]},"DOI":"10.1145\/3589335.3651565","type":"proceedings-article","created":{"date-parts":[[2024,5,12]],"date-time":"2024-05-12T18:41:21Z","timestamp":1715539281000},"page":"497-500","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Tackling Long-Tail Entities for Temporal Knowledge Graph Completion"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3276-7412","authenticated-orcid":false,"given":"Mehrnoosh","family":"Mirtaheri","sequence":"first","affiliation":[{"name":"USC Information Sciences Institute, Los Angeles, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9758-0635","authenticated-orcid":false,"given":"Ryan A.","family":"Rossi","sequence":"additional","affiliation":[{"name":"Adobe Research, San Jose, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3580-5290","authenticated-orcid":false,"given":"Sungchul","family":"Kim","sequence":"additional","affiliation":[{"name":"Adobe Research, San Jose, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6780-4199","authenticated-orcid":false,"given":"Kanak","family":"Mahadik","sequence":"additional","affiliation":[{"name":"Adobe Research, San Jose, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5991-2050","authenticated-orcid":false,"given":"Tong","family":"Yu","sequence":"additional","affiliation":[{"name":"Adobe Research, San Jose, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-9864-355X","authenticated-orcid":false,"given":"Xiang","family":"Chen","sequence":"additional","affiliation":[{"name":"Adobe Research, San Jose, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7873-1004","authenticated-orcid":false,"given":"Mohammad","family":"Rostami","sequence":"additional","affiliation":[{"name":"USC Information Sciences Institute, Los Angeles, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,5,13]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Integrated Crisis Early Warning System (ICEWS) Coded Event Data. URL: https:\/\/dataverse. harvard. edu\/dataverse\/icews","author":"Boschee E","year":"2015","unstructured":"E Boschee, J Lautenschlager, S O'Brien, S Shellman, J Starz, and M Ward. 2015. Integrated Crisis Early Warning System (ICEWS) Coded Event Data. URL: https:\/\/dataverse. harvard. edu\/dataverse\/icews (2015)."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1225"},{"key":"e_1_3_2_2_3_1","volume-title":"Dyernie: Dynamic evolution of riemannian manifold embeddings for temporal knowledge graph completion. arXiv preprint arXiv:2011.03984","author":"Han Zhen","year":"2020","unstructured":"Zhen Han, Peng Chen, Yunpu Ma, and Volker Tresp. 2020a. Dyernie: Dynamic evolution of riemannian manifold embeddings for temporal knowledge graph completion. arXiv preprint arXiv:2011.03984 (2020)."},{"key":"e_1_3_2_2_4_1","volume-title":"xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links. arXiv preprint arXiv:2012.15537","author":"Han Zhen","year":"2020","unstructured":"Zhen Han, Peng Chen, Yunpu Ma, and Volker Tresp. 2020b. xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links. arXiv preprint arXiv:2012.15537 (2020)."},{"key":"e_1_3_2_2_5_1","unstructured":"Zhen Han Yunpu Ma Yuyi Wang Stephan G\u00fcnnemann and Volker Tresp. 2020c. Graph Hawkes Neural Network for Forecasting on Temporal Knowledge Graphs. In Automated Knowledge Base Construction."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"crossref","unstructured":"Prachi Jain Sushant Rathi Soumen Chakrabarti et al. 2020. Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols. arXiv preprint arXiv:2005.05035 (2020).","DOI":"10.18653\/v1\/2020.emnlp-main.305"},{"key":"e_1_3_2_2_7_1","volume-title":"Recurrent event network: Autoregressive structure inference over temporal knowledge graphs. arXiv preprint arXiv:1904.05530","author":"Jin Woojeong","year":"2019","unstructured":"Woojeong Jin, Meng Qu, Xisen Jin, and Xiang Ren. 2019. Recurrent event network: Autoregressive structure inference over temporal knowledge graphs. arXiv preprint arXiv:1904.05530 (2019)."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.541"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/1519103.1519110"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3184558.3191639"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462963"},{"key":"e_1_3_2_2_12_1","volume-title":"Reasoning over different types of knowledge graphs: Static, temporal and multi-modal. arXiv preprint arXiv:2212.05767","author":"Liang Ke","year":"2022","unstructured":"Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, and Fuchun Sun. 2022. Reasoning over different types of knowledge graphs: Static, temporal and multi-modal. arXiv preprint arXiv:2212.05767 (2022)."},{"key":"e_1_3_2_2_13_1","volume-title":"History Repeats: Overcoming Catastrophic Forgetting For Event-Centric Temporal Knowledge Graph Completion. arXiv preprint arXiv:2305.18675","author":"Mirtaheri Mehrnoosh","year":"2023","unstructured":"Mehrnoosh Mirtaheri, Mohammad Rostami, and Aram Galstyan. 2023. History Repeats: Overcoming Catastrophic Forgetting For Event-Centric Temporal Knowledge Graph Completion. arXiv preprint arXiv:2305.18675 (2023)."},{"key":"e_1_3_2_2_14_1","volume-title":"Unifying Large Language Models and Knowledge Graphs: A Roadmap. arXiv preprint arXiv:2306.08302","author":"Pan Shirui","year":"2023","unstructured":"Shirui Pan, Linhao Luo, Yufei Wang, Chen Chen, Jiapu Wang, and Xindong Wu. 2023. Unifying Large Language Models and Knowledge Graphs: A Roadmap. arXiv preprint arXiv:2306.08302 (2023)."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i7.16802"},{"key":"e_1_3_2_2_16_1","volume-title":"A comprehensive overview of knowledge graph completion. Knowledge-Based Systems","author":"Shen Tong","year":"2022","unstructured":"Tong Shen, Fu Zhang, and Jingwei Cheng. 2022. A comprehensive overview of knowledge graph completion. Knowledge-Based Systems (2022), 109597."},{"key":"e_1_3_2_2_17_1","volume-title":"TimeTraveler: Reinforcement learning for temporal knowledge graph forecasting. arXiv preprint arXiv:2109.04101","author":"Sun Haohai","year":"2021","unstructured":"Haohai Sun, Jialun Zhong, Yunpu Ma, Zhen Han, and Kun He. 2021. TimeTraveler: Reinforcement learning for temporal knowledge graph forecasting. arXiv preprint arXiv:2109.04101 (2021)."},{"key":"e_1_3_2_2_18_1","volume-title":"Hybrid-TE: Hybrid Translation-Based Temporal Knowledge Graph Embedding","author":"Wang Zhihao","unstructured":"Zhihao Wang and Xin Li. 2019. Hybrid-TE: Hybrid Translation-Based Temporal Knowledge Graph Embedding. In IEEE ICTAI. IEEE, 1446--1451."},{"key":"e_1_3_2_2_19_1","volume-title":"Jackie Chi Kit Cheung, and William L Hamilton","author":"Wu Jiapeng","year":"2020","unstructured":"Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung, and William L Hamilton. 2020. Temp: Temporal message passing for temporal knowledge graph completion. arXiv preprint arXiv:2010.03526 (2020)."},{"key":"e_1_3_2_2_20_1","volume-title":"Hamed Shariat Yazdi, and Jens Lehmann","author":"Xu Chengjin","year":"2019","unstructured":"Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, and Jens Lehmann. 2019. Temporal knowledge graph embedding model based on additive time series decomposition. arXiv preprint arXiv:1911.07893 (2019)."},{"key":"e_1_3_2_2_21_1","volume-title":"Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks. arXiv preprint arXiv:2012.08492","author":"Zhu Cunchao","year":"2020","unstructured":"Cunchao Zhu, Muhao Chen, Changjun Fan, Guangquan Cheng, and Yan Zhan. 2020. Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks. arXiv preprint arXiv:2012.08492 (2020). n"}],"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":["Companion Proceedings of the ACM Web Conference 2024"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589335.3651565","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3589335.3651565","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:34:00Z","timestamp":1755822840000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589335.3651565"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,13]]},"references-count":21,"alternative-id":["10.1145\/3589335.3651565","10.1145\/3589335"],"URL":"https:\/\/doi.org\/10.1145\/3589335.3651565","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"}}]}}