{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T20:27:37Z","timestamp":1770064057181,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":48,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T00:00:00Z","timestamp":1730073600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,28]]},"DOI":"10.1145\/3664647.3681706","type":"proceedings-article","created":{"date-parts":[[2024,10,26]],"date-time":"2024-10-26T06:59:27Z","timestamp":1729925967000},"page":"8759-8767","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["RHKH: Relational Hypergraph Neural Network for Link Prediction on N-ary Knowledge Hypergraph"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8480-6084","authenticated-orcid":false,"given":"Yuzhuo","family":"Wang","sequence":"first","affiliation":[{"name":"Harbin Institute of Technology, Harbin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5109-2270","authenticated-orcid":false,"given":"Junwei","family":"He","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7521-2871","authenticated-orcid":false,"given":"Hongzhi","family":"Wang","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, Harbin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,10,28]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"9649","article-title":"Boxe: A box embedding model for knowledge base completion","volume":"33","author":"Abboud Ralph","year":"2020","unstructured":"Ralph Abboud, Ismail Ceylan, Thomas Lukasiewicz, and Tommaso Salvatori. 2020. Boxe: A box embedding model for knowledge base completion. Advances in Neural Information Processing Systems, Vol. 33 (2020), 9649--9661.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_2_1","volume-title":"Tucker: Tensor factorization for knowledge graph completion. arXiv preprint arXiv:1901.09590","author":"Balavzevic Ivana","year":"2019","unstructured":"Ivana Balavzevic, Carl Allen, and Timothy M Hospedales. 2019. Tucker: Tensor factorization for knowledge graph completion. arXiv preprint arXiv:1901.09590 (2019)."},{"key":"e_1_3_2_1_3_1","volume-title":"Translating embeddings for modeling multi-relational data. Advances in neural information processing systems","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. Advances in neural information processing systems, Vol. 26 (2013)."},{"key":"e_1_3_2_1_4_1","volume-title":"W3C recommendation","author":"Brickley Dan","year":"2014","unstructured":"Dan Brickley, Ramanathan V Guha, and Brian McBride. 2014. RDF Schema 1.1. W3C recommendation, Vol. 25 (2014), 2004--2014."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.112948"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11573"},{"key":"e_1_3_2_1_7_1","volume-title":"Knowledge hypergraphs: Prediction beyond binary relations. arXiv preprint arXiv:1906.00137","author":"Fatemi Bahare","year":"2019","unstructured":"Bahare Fatemi, Perouz Taslakian, David Vazquez, and David Poole. 2019. Knowledge hypergraphs: Prediction beyond binary relations. arXiv preprint arXiv:1906.00137 (2019)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013558"},{"key":"e_1_3_2_1_9_1","volume-title":"Message passing for hyper-relational knowledge graphs. arXiv preprint arXiv:2009.10847","author":"Galkin Mikhail","year":"2020","unstructured":"Mikhail Galkin, Priyansh Trivedi, Gaurav Maheshwari, Ricardo Usbeck, and Jens Lehmann. 2020. Message passing for hyper-relational knowledge graphs. arXiv preprint arXiv:2009.10847 (2020)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.546"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313414"},{"key":"e_1_3_2_1_12_1","volume-title":"HyperMatch: Knowledge Hypergraph Question Answering Based on Sequence Matching. In International Conference on Database Systems for Advanced Applications. Springer, 631--642","author":"Jia Yongzhe","year":"2023","unstructured":"Yongzhe Jia, Jianguo Wei, Zirui Chen, Dawei Xu, Lifan Han, and Yang Liu. 2023. HyperMatch: Knowledge Hypergraph Question Answering Based on Sequence Matching. In International Conference on Database Systems for Advanced Applications. Springer, 631--642."},{"key":"e_1_3_2_1_13_1","volume-title":"Simple embedding for link prediction in knowledge graphs. Advances in neural information processing systems","author":"Kazemi Seyed Mehran","year":"2018","unstructured":"Seyed Mehran Kazemi and David Poole. 2018. Simple embedding for link prediction in knowledge graphs. Advances in neural information processing systems, Vol. 31 (2018)."},{"key":"e_1_3_2_1_14_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_1_15_1","volume-title":"S\u00f6ren Auer, et al.","author":"Lehmann Jens","year":"2015","unstructured":"Jens Lehmann, Robert Isele, Max Jakob, Anja Jentzsch, Dimitris Kontokostas, Pablo N Mendes, Sebastian Hellmann, Mohamed Morsey, Patrick Van Kleef, S\u00f6ren Auer, et al. 2015. Dbpedia--a large-scale, multilingual knowledge base extracted from wikipedia. Semantic web, Vol. 6, 2 (2015), 167--195."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2023.102084"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-022-01016-3"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3615054"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380188"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449874"},{"key":"e_1_3_2_1_21_1","volume-title":"ContE: contextualized knowledge graph embedding for circular relations. Data Mining and Knowledge Discovery","author":"Ma Ting","year":"2022","unstructured":"Ting Ma, Mingming Li, Shangwen Lv, Fuqing Zhu, Longtao Huang, and Songlin Hu. 2022. ContE: contextualized knowledge graph embedding for circular relations. Data Mining and Knowledge Discovery (2022), 1--26."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10314"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.5555\/3566055.3566074"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380257"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113992"},{"key":"e_1_3_2_1_26_1","volume-title":"European semantic web conference","author":"Schlichtkrull Michael","unstructured":"Michael Schlichtkrull, Thomas N Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling. 2018. Modeling relational data with graph convolutional networks. In European semantic web conference. Springer, 593--607."},{"key":"e_1_3_2_1_27_1","volume-title":"Learning Representations for Hyper-Relational Knowledge Graphs. arXiv preprint arXiv:2208.14322","author":"Shomer Harry","year":"2022","unstructured":"Harry Shomer, Wei Jin, Juanhui Li, Yao Ma, and Jiliang Tang. 2022. Learning Representations for Hyper-Relational Knowledge Graphs. arXiv preprint arXiv:2208.14322 (2022)."},{"key":"e_1_3_2_1_28_1","volume-title":"Tensor product variable binding and the representation of symbolic structures in connectionist systems. Artificial intelligence","author":"Smolensky Paul","year":"1990","unstructured":"Paul Smolensky. 1990. Tensor product variable binding and the representation of symbolic structures in connectionist systems. Artificial intelligence, Vol. 46, 1--2 (1990), 159--216."},{"key":"e_1_3_2_1_29_1","volume-title":"A re-evaluation of knowledge graph completion methods. arXiv preprint arXiv:1911.03903","author":"Sun Zhiqing","year":"2019","unstructured":"Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha Talukdar, and Yiming Yang. 2019. A re-evaluation of knowledge graph completion methods. arXiv preprint arXiv:1911.03903 (2019)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W15-4007"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02289464"},{"key":"e_1_3_2_1_32_1","volume-title":"Composition-based multi-relational graph convolutional networks. arXiv preprint arXiv:1911.03082","author":"Vashishth Shikhar","year":"2019","unstructured":"Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, and Partha Talukdar. 2019. Composition-based multi-relational graph convolutional networks. arXiv preprint arXiv:1911.03082 (2019)."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/2629489"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583256"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467247"},{"key":"e_1_3_2_1_36_1","volume-title":"Link prediction on n-ary relational facts: A graph-based approach. arXiv preprint arXiv:2105.08476","author":"Wang Quan","year":"2021","unstructured":"Quan Wang, Haifeng Wang, Yajuan Lyu, and Yong Zhu. 2021. Link prediction on n-ary relational facts: A graph-based approach. arXiv preprint arXiv:2105.08476 (2021)."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8870"},{"key":"e_1_3_2_1_38_1","volume-title":"On the representation and embedding of knowledge bases beyond binary relations. arXiv preprint arXiv:1604.08642","author":"Wen Jianfeng","year":"2016","unstructured":"Jianfeng Wen, Jianxin Li, Yongyi Mao, Shini Chen, and Richong Zhang. 2016. On the representation and embedding of knowledge bases beyond binary relations. arXiv preprint arXiv:1604.08642 (2016)."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/2566486.2568032"},{"key":"e_1_3_2_1_40_1","volume-title":"Leveraging knowledge bases in lstms for improving machine reading. arXiv preprint arXiv:1902.09091","author":"Yang Bishan","year":"2019","unstructured":"Bishan Yang and Tom Mitchell. 2019. Leveraging knowledge bases in lstms for improving machine reading. arXiv preprint arXiv:1902.09091 (2019)."},{"key":"e_1_3_2_1_41_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)."},{"key":"e_1_3_2_1_42_1","volume-title":"Improving hyper-relational knowledge graph completion. arXiv preprint arXiv:2104.08167","author":"Yu Donghan","year":"2021","unstructured":"Donghan Yu and Yiming Yang. 2021. Improving hyper-relational knowledge graph completion. arXiv preprint arXiv:2104.08167 (2021)."},{"key":"e_1_3_2_1_43_1","volume-title":"Kg-fid: Infusing knowledge graph in fusion-in-decoder for open-domain question answering. arXiv preprint arXiv:2110.04330","author":"Yu Donghan","year":"2021","unstructured":"Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, and Michael Zeng. 2021. Kg-fid: Infusing knowledge graph in fusion-in-decoder for open-domain question answering. arXiv preprint arXiv:2110.04330 (2021)."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.3390\/info13080396"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i3.25445"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186017"},{"key":"e_1_3_2_1_47_1","volume-title":"Tensor ring decomposition. arXiv preprint arXiv:1606.05535","author":"Zhao Qibin","year":"2016","unstructured":"Qibin Zhao, Guoxu Zhou, Shengli Xie, Liqing Zhang, and Andrzej Cichocki. 2016. Tensor ring decomposition. arXiv preprint arXiv:1606.05535 (2016)."},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2021.01.001"}],"event":{"name":"MM '24: The 32nd ACM International Conference on Multimedia","location":"Melbourne VIC Australia","acronym":"MM '24","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 32nd ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3664647.3681706","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3664647.3681706","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:17:28Z","timestamp":1750295848000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3664647.3681706"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,28]]},"references-count":48,"alternative-id":["10.1145\/3664647.3681706","10.1145\/3664647"],"URL":"https:\/\/doi.org\/10.1145\/3664647.3681706","relation":{},"subject":[],"published":{"date-parts":[[2024,10,28]]},"assertion":[{"value":"2024-10-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}