{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T04:45:38Z","timestamp":1766378738297,"version":"3.48.0"},"publisher-location":"Singapore","reference-count":25,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819665907"},{"type":"electronic","value":"9789819665914"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-96-6591-4_7","type":"book-chapter","created":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T08:38:13Z","timestamp":1750667893000},"page":"91-105","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Learning Granularity Representation for\u00a0Temporal Knowledge Graph Completion"],"prefix":"10.1007","author":[{"given":"Jinchuan","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Tianqi","family":"Wan","sequence":"additional","affiliation":[]},{"given":"Chong","family":"Mu","sequence":"additional","affiliation":[]},{"given":"Guangxi","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Ling","family":"Tian","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,6,24]]},"reference":[{"key":"7_CR1","unstructured":"Bordes, A., Usunier, N., Garcia-Duran, A., Weston, J., Yakhnenko, O.: Translating embeddings for modeling multi-relational data. In: Burges, C., Bottou, L., Welling, M., Ghahramani, Z., Weinberger, K. (eds.) Advances in Neural Information Processing Systems, vol.\u00a026. Curran Associates, Inc. (2013)"},{"key":"7_CR2","doi-asserted-by":"crossref","unstructured":"Cai, B., Xiang, Y., Gao, L., Zhang, H., Li, Y., Li, J.: Temporal knowledge graph completion: a survey. In: International Joint Conference on Artificial Intelligence (2022)","DOI":"10.24963\/ijcai.2023\/734"},{"key":"7_CR3","doi-asserted-by":"crossref","unstructured":"Dasgupta, S.S., Ray, S.N., Talukdar, P.: Hyte: hyperplane-based temporally aware knowledge graph embedding. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp. 2001\u20132011 (2018)","DOI":"10.18653\/v1\/D18-1225"},{"key":"7_CR4","doi-asserted-by":"crossref","unstructured":"Dettmers, T., Pasquale, M., Pontus, S., Riedel, S.: Convolutional 2d knowledge graph embeddings. In: Proceedings of the 32th AAAI Conference on Artificial Intelligence, pp. 1811\u20131818 (2018)","DOI":"10.1609\/aaai.v32i1.11573"},{"key":"7_CR5","doi-asserted-by":"crossref","unstructured":"Garc\u00eda-Dur\u00e1n, A., Dumancic, S., Niepert, M.: Learning sequence encoders for temporal knowledge graph completion. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2018)","DOI":"10.18653\/v1\/D18-1516"},{"key":"7_CR6","doi-asserted-by":"crossref","unstructured":"Goel, R., Kazemi, S.M., Brubaker, M., Poupart, P.: Diachronic embedding for temporal knowledge graph completion. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a034, pp. 3988\u20133995 (2020)","DOI":"10.1609\/aaai.v34i04.5815"},{"key":"7_CR7","doi-asserted-by":"crossref","unstructured":"Jiang, T., Liu, T., Ge, T., Sha, L., Li, S., Chang, B., Sui, Z.: Encoding temporal information for time-aware link prediction. In: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pp. 2350\u20132354. Association for Computational Linguistics, Austin, Texas (2016)","DOI":"10.18653\/v1\/D16-1260"},{"key":"7_CR8","unstructured":"Lacroix, T., Obozinski, G., Usunier, N.: Tensor decompositions for temporal knowledge base completion. In: 8th International Conference on Learning Representations, ICLR 2020, 26\u201330 April 2020, Addis Ababa, Ethiopia, (2020)"},{"key":"7_CR9","doi-asserted-by":"publisher","unstructured":"Li, Y., Zhang, X., Zhang, B., Ren, H.: Each Snapshot to Each Space: Space Adaptation for Temporal Knowledge Graph Completion. In: Sattler, U., et al (eds.). The Semantic Web \u2013 ISWC 2022. ISWC 2022LNCS, vol. 13489. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-19433-7_15","DOI":"10.1007\/978-3-031-19433-7_15"},{"key":"7_CR10","doi-asserted-by":"crossref","unstructured":"Messner, J., Abboud, R., Ceylan, \u0130.\u0130.: Temporal knowledge graph completion using box embeddings. In: Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, 22 February - 1 March 2022. pp. 7779\u20137787. AAAI Press (2022)","DOI":"10.1609\/aaai.v36i7.20746"},{"key":"7_CR11","doi-asserted-by":"crossref","unstructured":"Sadeghian, A., Armandpour, M., Colas, A.M., Wang, D.Z.: Chronor: rotation based temporal knowledge graph embedding. In: Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, 2\u20139 February 2021, pp. 6471\u20136479. AAAI Press (2021)","DOI":"10.1609\/aaai.v35i7.16802"},{"key":"7_CR12","unstructured":"Sun, Z., Deng, Z., Nie, J., Tang, J.: Rotate: knowledge graph embedding by relational rotation in complex space. In: 7th International Conference on Learning Representations, ICLR 2019, 6\u20139 May 2019 New Orleans, LA, USA (2019)"},{"key":"7_CR13","doi-asserted-by":"crossref","unstructured":"Tian, L., Zhou, X., Wu, Y.P., Zhou, W.T., Zhang, J.H., Zhang, T.S.: Knowledge graph and knowledge reasoning: a systematic review. J. Electron. Sci. Technol., 100159 (2022)","DOI":"10.1016\/j.jnlest.2022.100159"},{"key":"7_CR14","unstructured":"Trouillon, T., Welbl, J., Riedel, S., Gaussier, E., Bouchard, G.: Complex embeddings for simple link prediction. In: Balcan, M.F., Weinberger, K.Q. (eds.) Proceedings of The 33rd International Conference on Machine Learning. Proceedings of Machine Learning Research, 20\u201322 Jun, vol.\u00a048, pp. 2071\u20132080. PMLR, New York (2016)"},{"key":"7_CR15","unstructured":"Vashishth, S., Sanyal, S., Nitin, V., Talukdar, P.P.: Composition-based multi-relational graph convolutional networks. In: 8th International Conference on Learning Representations, ICLR 2020, 26\u201330 April 2020 Addis Ababa, Ethiopia (2020)"},{"key":"7_CR16","doi-asserted-by":"crossref","unstructured":"Wang, M., Zeng, D., Xu, Z., Guo, R., Zhao, X.: Federated knowledge graph completion via latent embedding sharing and tensor factorization. In: 2023 IEEE International Conference on Data Mining (ICDM), pp. 1361\u20131366 (2023)","DOI":"10.1109\/ICDM58522.2023.00175"},{"key":"7_CR17","doi-asserted-by":"crossref","unstructured":"Wu, J., Cao, M., Cheung, J., Hamilton, W.L.: Temp: temporal message passing for temporal knowledge graph completion. In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020)","DOI":"10.18653\/v1\/2020.emnlp-main.462"},{"key":"7_CR18","doi-asserted-by":"crossref","unstructured":"Xiong, S., Payani, A., Kompella, R., Fekri, F.: Large language models can learn temporal reasoning. In: The 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024, 11\u201316 August 2024, Bangkok, Thailand (2024)","DOI":"10.18653\/v1\/2024.acl-long.563"},{"key":"7_CR19","doi-asserted-by":"crossref","unstructured":"Xu, C., Chen, Y., Nayyeri, M., Lehmann, J.: Temporal knowledge graph completion using a linear temporal regularizer and multivector embeddings. In: Toutanova, K., Rumshisky, A., Zettlemoyer, L., Hakkani-T\u00fcr, D., Beltagy, I., Bethard, S., Cotterell, R., Chakraborty, T., Zhou, Y. (eds.) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, 6-11 June 2021, Online, pp. 2569\u20132578. Association for Computational Linguistics (2021)","DOI":"10.18653\/v1\/2021.naacl-main.202"},{"issue":"5","key":"7_CR20","first-page":"4838","volume":"35","author":"C Xu","year":"2023","unstructured":"Xu, C., Nayyeri, M., Chen, Y., Lehmann, J.: Geometric algebra based embeddings for static and temporal knowledge graph completion. IEEE Trans. Knowl. Data Eng. 35(5), 4838\u20134851 (2023)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"7_CR21","unstructured":"Yang, B., Yih, W., He, X., Gao, J., Deng, L.: Embedding entities and relations for learning and inference in knowledge bases. In: Bengio, Y., LeCun, Y. (eds.) 3rd International Conference on Learning Representations, ICLR 2015, 7\u20139 May 2015 San Diego, CA, USA, Conference Track Proceedings (2015)"},{"key":"7_CR22","doi-asserted-by":"publisher","unstructured":"Yue, L., Ren, Y., Zeng, Y., Zhang, J., Zeng, K., Wan, J.: Block decomposition with multi-granularity embedding for temporal knowledge graph completion. In: Wang, X., et al. (eds.) Database Systems for Advanced Applications. DASFAA 2023. LNCS, vol. 13944. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-30672-3_47","DOI":"10.1007\/978-3-031-30672-3_47"},{"key":"7_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2024.111591","volume":"290","author":"L Yue","year":"2024","unstructured":"Yue, L., et al.: Complex expressional characterizations learning based on block decomposition for temporal knowledge graph completion. Knowl.-Based Syst. 290, 111591 (2024)","journal-title":"Knowl.-Based Syst."},{"key":"7_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2023.119853","volume":"654","author":"F Zhang","year":"2024","unstructured":"Zhang, F., Chen, H., Shi, Y., Cheng, J., Lin, J.: Joint framework for tensor decomposition-based temporal knowledge graph completion. Inf. Sci. 654, 119853 (2024)","journal-title":"Inf. Sci."},{"key":"7_CR25","unstructured":"Zhang, S., Tay, Y., Yao, L., Liu, Q.: Quaternion knowledge graph embeddings. In: Wallach, H.M., Larochelle, H., Beygelzimer, A., d\u2019Alch\u00e9-Buc, F., Fox, E.B., Garnett, R. (eds.) Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8\u201314 December 2019, Vancouver, BC, Canada, pp. 2731\u20132741 (2019)"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-6591-4_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T04:43:37Z","timestamp":1766378617000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-6591-4_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819665907","9789819665914"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-6591-4_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"24 June 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Auckland","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"New Zealand","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iconip2024.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}