{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T21:03:25Z","timestamp":1773435805468,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":31,"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\/"}],"funder":[{"name":"Major Public Welfare Project of Henan Province","award":["201300311200"],"award-info":[{"award-number":["201300311200"]}]},{"DOI":"10.13039\/501100006374","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62172393"],"award-info":[{"award-number":["62172393"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,5,13]]},"DOI":"10.1145\/3589334.3645720","type":"proceedings-article","created":{"date-parts":[[2024,5,8]],"date-time":"2024-05-08T07:08:13Z","timestamp":1715152093000},"page":"2325-2336","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":12,"title":["Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1741-0781","authenticated-orcid":false,"given":"Xuhui","family":"Jiang","sequence":"first","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences & School of Computer Science and Technology, University of Chinese Academy of Science, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4942-9049","authenticated-orcid":false,"given":"Chengjin","family":"Xu","sequence":"additional","affiliation":[{"name":"IDEA Research, International Digital Economy Academy, Shenzhen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-1727-665X","authenticated-orcid":false,"given":"Yinghan","family":"Shen","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6799-1756","authenticated-orcid":false,"given":"Yuanzhuo","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7595-7515","authenticated-orcid":false,"given":"Fenglong","family":"Su","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-7835-7984","authenticated-orcid":false,"given":"Zhichao","family":"Shi","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6146-148X","authenticated-orcid":false,"given":"Fei","family":"Sun","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-9962-6917","authenticated-orcid":false,"given":"Zixuan","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-5046-2588","authenticated-orcid":false,"given":"Jian","family":"Guo","sequence":"additional","affiliation":[{"name":"IDEA Research, International Digital Economy Academy, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1081-8119","authenticated-orcid":false,"given":"Huawei","family":"Shen","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,5,13]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3341981.3344241"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512026"},{"key":"e_1_3_2_2_3_1","volume-title":"Jason Weston, and Oksana Yakhnenko.","author":"Bordes Antoine","year":"2013","unstructured":"Antoine Bordes, Nicolas Usunier, Alberto Garc'i a-Dur\u00e1 n, Jason Weston, and Oksana Yakhnenko. 2013. Translating Embeddings for Modeling Multi-relational Data. In Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5--8, 2013, Lake Tahoe, Nevada, United States, , Christopher J. C. Burges, L\u00e9 on Bottou, Zoubin Ghahramani, and Kilian Q. Weinberger (Eds.). 2787--2795. https:\/\/proceedings.neurips.cc\/paper\/2013\/hash\/1cecc7a77928ca8133fa24680a88d2f9-Abstract.html"},{"key":"e_1_3_2_2_4_1","volume-title":"Proceedings of the 29th International Conference on Computational Linguistics. International Committee on Computational Linguistics, Gyeongju, Republic of Korea","author":"Cai Li","year":"2022","unstructured":"Li Cai, Xin Mao, Meirong Ma, Hao Yuan, Jianchao Zhu, and Man Lan. 2022. A Simple Temporal Information Matching Mechanism for Entity Alignment between Temporal Knowledge Graphs. In Proceedings of the 29th International Conference on Computational Linguistics. International Committee on Computational Linguistics, Gyeongju, Republic of Korea, 2075--2086. https:\/\/aclanthology.org\/2022.coling-1.181"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/209"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1162\/dint_a_00116"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19--1423"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","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":"2020","unstructured":"Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker, and Pascal Poupart. 2020. Diachronic Embedding for Temporal Knowledge Graph Completion. In The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7--12, 2020. AAAI Press, 3988--3995. https:\/\/aaai.org\/ojs\/index.php\/AAAI\/article\/view\/5815"},{"key":"e_1_3_2_2_10_1","volume-title":"Kipf and Max Welling","author":"Thomas","year":"2017","unstructured":"Thomas N. Kipf and Max Welling. 2017. Semi-Supervised Classification with Graph Convolutional Networks. In 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24--26, 2017, Conference Track Proceedings. OpenReview.net. https:\/\/openreview.net\/forum?id=SJU4ayYgl"},{"key":"e_1_3_2_2_11_1","volume-title":"6th International Conference on Learning Representations, ICLR","author":"Lample Guillaume","year":"2018","unstructured":"Guillaume Lample, Alexis Conneau, Marc'Aurelio Ranzato, Ludovic Denoyer, and Herv\u00e9 J\u00e9 gou. 2018. Word translation without parallel data. In 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings. OpenReview.net. https:\/\/openreview.net\/forum?id=H196sainb"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.14778\/3529337.3529355"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449897"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371804"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412001"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.750"},{"key":"e_1_3_2_2_17_1","volume-title":"Whitening sentence representations for better semantics and faster retrieval. ArXiv preprint","author":"Su Jianlin","year":"2021","unstructured":"Jianlin Su, Jiarun Cao, Weijie Liu, and Yangyiwen Ou. 2021. Whitening sentence representations for better semantics and faster retrieval. ArXiv preprint , Vol. abs\/2103.15316 (2021). https:\/\/arxiv.org\/abs\/2103.15316"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.14778\/2078331.2078332"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-68288-4_37"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/611"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.14778\/3407790.3407828"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/439"},{"key":"e_1_3_2_2_23_1","volume-title":"6th International Conference on Learning Representations, ICLR","author":"Velickovic Petar","year":"2018","unstructured":"Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Li\u00f2 , and Yoshua Bengio. 2018. Graph Attention Networks. In 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings. OpenReview.net. https:\/\/openreview.net\/forum?id=rJXMpikCZ"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2022.08.002"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1032"},{"key":"e_1_3_2_2_26_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 , Vol. abs\/1911.07893 (2019). https:\/\/arxiv.org\/abs\/1911.07893"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.709"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3511922"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531671"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-022-00747-z"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/595"}],"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\/3589334.3645720","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3589334.3645720","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:31:27Z","timestamp":1755822687000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589334.3645720"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,13]]},"references-count":31,"alternative-id":["10.1145\/3589334.3645720","10.1145\/3589334"],"URL":"https:\/\/doi.org\/10.1145\/3589334.3645720","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"}}]}}