{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T05:03:34Z","timestamp":1784351014775,"version":"3.55.0"},"publisher-location":"Singapore","reference-count":24,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819233908","type":"print"},{"value":"9789819233915","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,7,19]],"date-time":"2026-07-19T00:00:00Z","timestamp":1784419200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,19]],"date-time":"2026-07-19T00:00:00Z","timestamp":1784419200000},"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":[[2027]]},"DOI":"10.1007\/978-981-92-3391-5_1","type":"book-chapter","created":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T04:40:18Z","timestamp":1784349618000},"page":"3-15","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Knowledge Graph Completion via Multi-hop Neighborhood Perception and Multi-scale Fusion for Multi-modal Scenarios"],"prefix":"10.1007","author":[{"given":"Sheng","family":"Yan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuefei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liping","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Hou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xue","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,19]]},"reference":[{"key":"1_CR1","unstructured":"Wikipedia. Knowledge graph [EB\/OL]. https:\/\/en.wikipedia.org\/wiki\/Knowledge Graph (2016-05-09)"},{"key":"1_CR2","doi-asserted-by":"publisher","unstructured":"Peng, Y.F., Zhang, R.S., Wang, R.H., et al.: Few-shot knowledge graph completion: a technical review[J]. J. Front. Comput. Sci. Technol. 17(6) (2023). https:\/\/doi.org\/10.3778\/j.issn.1673-9418.2209069","DOI":"10.3778\/j.issn.1673-9418.2209069"},{"key":"1_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.120438","volume":"666","author":"D Li","year":"2024","unstructured":"Li, D., Shi, F., Wang, X., et al.: Multi-perspective knowledge graph completion with global and interaction features[J]. Inf. Sci. 666, 120438 (2024)","journal-title":"Inf. Sci."},{"key":"1_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121725","volume":"238","author":"J Liu","year":"2024","unstructured":"Liu, J., Fan, C.F., Zhou, F., et al.: Complete feature learning and consistent relation modeling for few-shot knowledge graph completion[J]. Expert Syst. Appl. 238, 121725 (2024)","journal-title":"Expert Syst. Appl."},{"key":"1_CR5","doi-asserted-by":"crossref","unstructured":"Du, X., Bai, L., Feng, G., et al.: Unsupervised sparse temporal knowledge graph entity alignment via joint temporal relational representation learning[J]. Appl. Soft Comput., 114684 (2026)","DOI":"10.1016\/j.asoc.2026.114684"},{"key":"1_CR6","doi-asserted-by":"crossref","unstructured":"Gao, Y., Bai, L., Shi, R., et al.: Time-weaver query in sparse temporal knowledge graphs leveraging complex space embedding and adjacent timestamp relations[J]. Expert Syst. Appl., 130177 (2025)","DOI":"10.1016\/j.eswa.2025.130177"},{"issue":"4","key":"1_CR7","doi-asserted-by":"publisher","first-page":"1824","DOI":"10.1109\/TCSS.2024.3385672","volume":"12","author":"Y Liang","year":"2025","unstructured":"Liang, Y.: Multimodal knowledge graph embedding with missing data integration[J]. IEEE Trans. Computat. Soc. Syst. 12(4), 1824\u20131836 (2025). https:\/\/doi.org\/10.1109\/TCSS.2024.3385672","journal-title":"IEEE Trans. Computat. Soc. Syst."},{"issue":"8","key":"1_CR8","first-page":"8957","volume":"38","author":"B Shang","year":"2024","unstructured":"Shang, B., Zhao, Y., Liu, J., et al.: Lafa: multimodal knowledge graph completion with link aware fusion and aggregation[C]. Proc. AAAI Conf. Artif. Intell. 38(8), 8957\u20138965 (2024)","journal-title":"Proc. AAAI Conf. Artif. Intell."},{"key":"1_CR9","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1145\/3626772.3657838","volume-title":"Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","author":"Y Zhao","year":"2024","unstructured":"Zhao, Y., Zhang, Y., Zhou, B., et al.: Contrast then memorize: semantic neighbor retrieval-enhanced inductive multimodal knowledge graph completion[C]. In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 102\u2013111 (2024)"},{"key":"1_CR10","doi-asserted-by":"publisher","unstructured":"Yao, L., Mao, C., Luo, Y.: KG-BERT: BERT for knowledge graph completion[J]. (2019). https:\/\/doi.org\/10.48550\/arXiv.1909.03193","DOI":"10.48550\/arXiv.1909.03193"},{"key":"1_CR11","first-page":"2787","volume-title":"Proceedings of the 26th Advances in Neural Information Processing Systems, Lake Tahoe, December 5\u20138, 2013","author":"A Bordes","year":"2023","unstructured":"Bordes, A., Usunier, N., Garcia-Duran, A., et al.: Translating embeddings for modeling multi-relational data[C]. In: Proceedings of the 26th Advances in Neural Information Processing Systems, Lake Tahoe, December 5\u20138, 2013, pp. 2787\u20132795 (2023)"},{"key":"1_CR12","unstructured":"Zhang, S., Tay, Y., Yao, L., et al.: Quaternion knowledge graph embeddings[J]. Adv. Neural Inf. Process. Syst., 32 (2019)"},{"issue":"5","key":"1_CR13","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1109\/TKDE.2019.2893920","volume":"32","author":"T Ebisu","year":"2020","unstructured":"Ebisu, T., Ichise, R.: Generalized translation-based embedding of knowledge graph[J]. IEEE Trans. Automat. Control. 32(5), 11 (2020). https:\/\/doi.org\/10.1109\/TKDE.2019.2893920","journal-title":"IEEE Trans. Automat. Control"},{"key":"1_CR14","doi-asserted-by":"publisher","first-page":"108100","DOI":"10.1016\/j.knosys.2021.108100","volume":"240","author":"Z Zhou","year":"2022","unstructured":"Zhou, Z., Wang, C., Feng, Y., et al.: JointE: jointly utilizing 1D and 2D convolution for knowledge graph embedding[J]. Knowl. Based Syst. 240, 108100 (2022). https:\/\/doi.org\/10.1016\/j.knosys.2021.108100","journal-title":"Knowl. Based Syst."},{"key":"1_CR15","doi-asserted-by":"publisher","unstructured":"Yang, B., Yi, W.T., He, X., et al.: Embedding entities and relations for learning and inference in knowledge bases[J]. (2014). https:\/\/doi.org\/10.48550\/arXiv.1412.6575","DOI":"10.48550\/arXiv.1412.6575"},{"key":"1_CR16","first-page":"1811","volume-title":"Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, AAAI 2018","author":"D Tim","year":"2018","unstructured":"Tim, D., Pasquale, M., Pontus, S., Sebastian, R.: Convolutional 2D knowledge graph embeddings[C]. In: Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, AAAI 2018, pp. 1811\u20131818 (2018)"},{"key":"1_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107188","volume":"7","author":"D Jiang","year":"2021","unstructured":"Jiang, D., Wang, R., Yang, J., et al.: Kernel multi-attention neural network for knowledge graph embedding[J]. Knowl. Based Syst. 7, 107188 (2021). https:\/\/doi.org\/10.1016\/j.knosys.2021.107188","journal-title":"Knowl. Based Syst."},{"key":"1_CR18","doi-asserted-by":"publisher","unstructured":"Zhang, Z., Li, Z., Liu, H., et al.: Multi-scale dynamic convolutional network for knowledge graph embedding[J]. IEEE Trans. Automat. Control. 34(5) (2022). https:\/\/doi.org\/10.1109\/TKDE.2020.3005952","DOI":"10.1109\/TKDE.2020.3005952"},{"key":"1_CR19","doi-asserted-by":"publisher","first-page":"593","DOI":"10.1007\/978-3-319-93417-4_38","volume-title":"The Semantic Web: 15th International Conference, ESWC 2018, Heraklion, Crete, Greece, June 3\u20137, 2018, proceedings 15","author":"M Schlichtkrull","year":"2018","unstructured":"Schlichtkrull, M., Kipf, T.N., Bloem, P., et al.: Modeling relational data with graph convolutional networks[C]. In: The Semantic Web: 15th International Conference, ESWC 2018, Heraklion, Crete, Greece, June 3\u20137, 2018, proceedings 15, pp. 593\u2013607. Springer International Publishing (2018)"},{"key":"1_CR20","first-page":"3060","volume-title":"The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019","author":"C Shang","year":"2019","unstructured":"Shang, C., Tang, Y., Huang, J., Bi, J.B., He, X.D., Zhou, B.W.: End-to-end structure-aware convolutional networks for knowledge base completion[C]. In: The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, pp. 3060\u20133067 (2019)"},{"key":"1_CR21","first-page":"372","volume-title":"Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, UAI 2018","author":"G Alberto","year":"2018","unstructured":"Alberto, G., Mathias, N.: KBlrn: end-to-end learning of knowledge base representations with latent, relational, and numerical features[C]. In: Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, UAI 2018, pp. 372\u2013381 (2018)"},{"key":"1_CR22","first-page":"3956","volume-title":"MM \u201820: The 28th ACM International Conference on Multimedia","author":"YY Zhang","year":"2020","unstructured":"Zhang, Y.Y., Fang, Q., Qian, S.S., Xu, C.S.: Multi-modal multi-relational feature aggregation network for medical knowledge representation learning[C]. In: MM \u201820: The 28th ACM International Conference on Multimedia, pp. 3956\u20133965 (2020)"},{"key":"1_CR23","volume-title":"Findings of the Association for Computational Linguistics: NAACL","author":"GL Zhu","year":"2025","unstructured":"Zhu, G.L., et al.: Let modalities teach each other: modal-collaborative knowledge extraction and fusion for multimodal knowledge graph completion[C]. In: Findings of the Association for Computational Linguistics: NAACL (2025)"},{"key":"1_CR24","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1016\/j.neunet.2022.07.014","volume":"154","author":"G Dai","year":"2022","unstructured":"Dai, G., Wang, X., Zou, X., Liu, C., Cen, S.: MRGAT: multi relational graph attention network for knowledge graph completion[J]. Neural Netw. 154, 234\u2013245 (2022)","journal-title":"Neural Netw."}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-92-3391-5_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T04:40:26Z","timestamp":1784349626000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-92-3391-5_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,19]]},"ISBN":["9789819233908","9789819233915"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-981-92-3391-5_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,19]]},"assertion":[{"value":"19 July 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Toronto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 July 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2026a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2026\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}