{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T20:53:46Z","timestamp":1785876826559,"version":"3.56.0"},"reference-count":57,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["32371993"],"award-info":[{"award-number":["32371993"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012422","name":"Anhui Provincial University Teaching Quality and Teaching Reform Project","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012422","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100009558","name":"University Natural Science Research Project of Anhui Province","doi-asserted-by":"publisher","award":["2024AH050471"],"award-info":[{"award-number":["2024AH050471"]}],"id":[{"id":"10.13039\/501100009558","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100009558","name":"University Natural Science Research Project of Anhui Province","doi-asserted-by":"publisher","award":["2024AH050462"],"award-info":[{"award-number":["2024AH050462"]}],"id":[{"id":"10.13039\/501100009558","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neurocomputing"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.neucom.2026.134256","type":"journal-article","created":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T00:16:05Z","timestamp":1781223365000},"page":"134256","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["DyFract: Dynamic fractal embedding with semantic constraints for temporal knowledge graph completion"],"prefix":"10.1016","volume":"698","author":[{"given":"Ying","family":"Pei","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8785-0689","authenticated-orcid":false,"given":"Dan","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Rao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xianbao","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiu","family":"Jin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuai","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juan","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ronggui","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.neucom.2026.134256_bib0005","series-title":"Proceedings of the Association for Computational Linguistics","first-page":"20927","article-title":"G2S: a general-to-specific learning framework for temporal knowledge graph forecasting with large language models","author":"Bai","year":"2025"},{"key":"10.1016\/j.neucom.2026.134256_bib0010","series-title":"Proceedings of the Association for Computational Linguistics","first-page":"20981","article-title":"EasyEA: large language model is all you need in entity alignment between knowledge graphs","author":"Cheng","year":"2025"},{"key":"10.1016\/j.neucom.2026.134256_bib0015","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.129354","article-title":"SKGRec: unifying temporal dynamics and knowledge graphs for robust recommendations","volume":"297","author":"Liu","year":"2026","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.neucom.2026.134256_bib0020","series-title":"Proceedings of the ACM on Web Conference","first-page":"322","article-title":"A plug-in critiquing approach for knowledge graph recommendation systems via representative sampling","author":"Zhang","year":"2025"},{"key":"10.1016\/j.neucom.2026.134256_bib0025","series-title":"Proceedings of the Association for Computational Linguistics","first-page":"27038","article-title":"Enhancing complex reasoning in knowledge graph question answering through query graph approximation","author":"Jeong","year":"2025"},{"key":"10.1016\/j.neucom.2026.134256_bib0030","series-title":"Proceedings of the Sixty-Third Annual Meeting of the Association for Computational Linguistics","first-page":"15269","article-title":"Ontology-guided reverse thinking makes large language models stronger on knowledge graph question answering","author":"Liu","year":"2025"},{"key":"10.1016\/j.neucom.2026.134256_bib0035","series-title":"Proceedings of the Twenty-Seventh Annual Meeting of the Neural Information Processing Systems","first-page":"2787","article-title":"Translating embeddings for modeling multi-relational data","author":"Bordes","year":"2013"},{"key":"10.1016\/j.neucom.2026.134256_bib0040","series-title":"Proceedings of the Association for Computational Linguistics","first-page":"11074","article-title":"Simple but effective compound geometric operations for temporal knowledge graph completion","author":"Ying","year":"2024"},{"key":"10.1016\/j.neucom.2026.134256_bib0045","series-title":"Proceedings of the Sixty-Third Annual Meeting of the Association for Computational Linguistics","first-page":"9611","article-title":"TeRDy: temporal relation dynamics through frequency decomposition for temporal knowledge graph completion","author":"Liu","year":"2025"},{"key":"10.1016\/j.neucom.2026.134256_bib0050","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2024.111591","article-title":"Complex expressional characterizations learning based on block decomposition for temporal knowledge graph completion","volume":"290","author":"Yue","year":"2024","journal-title":"Knowl.-based Syst."},{"key":"10.1016\/j.neucom.2026.134256_bib0055","series-title":"Proceedings of the Sixtieth Annual Meeting of the Association for Computational Linguistics","first-page":"5843","article-title":"RotateQVS: representing temporal information as rotations in quaternion vector space for temporal knowledge graph completion","author":"Chen","year":"2022"},{"key":"10.1016\/j.neucom.2026.134256_bib0060","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2024.121409","article-title":"EHPR: learning evolutionary hierarchy perception representation based on quaternion for temporal knowledge graph completion","volume":"688","author":"Guo","year":"2025","journal-title":"Inf. Sci."},{"key":"10.1016\/j.neucom.2026.134256_bib0065","series-title":"Proceedings of the Thirty-Eighth Association for the Advancement of Artificial Intelligence","first-page":"8913","article-title":"HGE: embedding temporal knowledge graphs in a product space of heterogeneous geometric subspaces","author":"Pan","year":"2024"},{"key":"10.1016\/j.neucom.2026.134256_bib0070","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2023.119853","article-title":"Joint framework for tensor decomposition-based temporal knowledge graph completion","volume":"654","author":"Zhang","year":"2024","journal-title":"Inf. Sci."},{"key":"10.1016\/j.neucom.2026.134256_bib0075","series-title":"Proceedings of the ACM on Web Conference","first-page":"1954","article-title":"IME: integrating multi-curvature shared and specific embedding for temporal knowledge graph completion","author":"Wang","year":"2024"},{"key":"10.1016\/j.neucom.2026.134256_bib0080","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2025.113321","article-title":"TCrossE: cross-space interaction of bicomplex and quaternion embeddings for temporal knowledge graph completion","volume":"315","author":"Vu","year":"2025","journal-title":"Knowl.-based Syst."},{"key":"10.1016\/j.neucom.2026.134256_bib0085","series-title":"Proceedings of the Thirty-First ACM International Conference on Information & Knowledge Management","first-page":"2529","article-title":"Along the time: timeline-traced embedding for temporal knowledge graph completion","author":"Zhang","year":"2022"},{"key":"10.1016\/j.neucom.2026.134256_bib0090","series-title":"Proceedings of the Thirty-Seventh Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence","first-page":"4569","article-title":"Logic and commonsense-guided temporal knowledge graph completion","author":"Niu","year":"2023"},{"key":"10.1016\/j.neucom.2026.134256_bib0095","series-title":"Proceedings of the Joint International Conference on Computational Linguistics, Language Resources and Evaluation","first-page":"13919","article-title":"RENN: a rule embedding enhanced neural network framework for temporal knowledge graph completion","author":"Zong","year":"2024"},{"key":"10.1016\/j.neucom.2026.134256_bib0100","series-title":"Proceedings of the Twenty-First International Conference on Web Information Systems and Applications","first-page":"100","article-title":"Uncertain knowledge graph completion with rule mining","author":"Chen","year":"2024"},{"key":"10.1016\/j.neucom.2026.134256_bib0105","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1186\/s13634-023-01094-z","article-title":"Classification of drought severity in contiguous USA during the past 21 years using fractal geometry","author":"Azizi","year":"2024","journal-title":"EURASIP Journal on Advanced Signal Processing"},{"issue":"1","key":"10.1016\/j.neucom.2026.134256_bib0110","doi-asserted-by":"crossref","DOI":"10.1080\/08839514.2024.2440839","article-title":"Fractal neural network approach for analyzing satellite images","volume":"39","author":"Shymanskyi","year":"2025","journal-title":"Appl. Artif. Intell."},{"key":"10.1016\/j.neucom.2026.134256_bib0115","series-title":"Proceedings of the Eighteenth European Conference on Computer Vision","first-page":"143","article-title":"Representing topological self-similarity using fractal feature maps for accurate segmentation of tubular structures","author":"Huang","year":"2024"},{"key":"10.1016\/j.neucom.2026.134256_bib0120","series-title":"Proceedings of the Conference on Empirical Methods in Natural Language Processing","first-page":"4816","article-title":"Learning sequence encoders for temporal knowledge graph completion","author":"Garc\u00eda-Dur\u00e1n","year":"2018"},{"key":"10.1016\/j.neucom.2026.134256_bib0125","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2025.113469","article-title":"STSE: spatio-temporal state embedding for knowledge graph completion","volume":"317","author":"Ji","year":"2025","journal-title":"Knowl.-based Syst."},{"key":"10.1016\/j.neucom.2026.134256_bib0130","series-title":"Proceedings of the Third International Conference on Learning Representations","first-page":"1","article-title":"Embedding entities and relations for learning and inference in knowledge bases","author":"Yang","year":"2015"},{"key":"10.1016\/j.neucom.2026.134256_bib0135","series-title":"Proceedings of the Thirty-Sixth Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence","first-page":"7779","article-title":"Temporal knowledge graph completion using box embeddings","author":"Messner","year":"2022"},{"key":"10.1016\/j.neucom.2026.134256_bib0140","series-title":"Proceedings of the Association for Computational Linguistics","first-page":"4316","article-title":"RulE: knowledge graph reasoning with rule embedding","author":"Tang","year":"2024"},{"key":"10.1016\/j.neucom.2026.134256_bib0145","series-title":"Proceedings of the Association for Computational Linguistics","first-page":"13686","article-title":"A unified joint approach with topological context learning and rule augmentation for knowledge graph completion","author":"Guo","year":"2024"},{"key":"10.1016\/j.neucom.2026.134256_bib0150","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2024.120343","article-title":"CRmod: context-aware rule-guided reasoning over temporal knowledge graph","volume":"664","author":"Zhu","year":"2024","journal-title":"Inf. Sci."},{"issue":"3","key":"10.1016\/j.neucom.2026.134256_bib0155","first-page":"2724","article-title":"Knowledge graph completion by jointly learning structural features and soft logical rules","volume":"35","author":"Li","year":"2023","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.neucom.2026.134256_bib0160","series-title":"Proceedings of the Conference on Empirical Methods in Natural Language Processing","first-page":"7304","article-title":"An adaptive logical rule embedding model for inductive reasoning over temporal knowledge graphs","author":"Mei","year":"2022"},{"issue":"4","key":"10.1016\/j.neucom.2026.134256_bib0165","doi-asserted-by":"crossref","first-page":"4201","DOI":"10.1109\/TNSM.2022.3197457","article-title":"A fractional integral and fractal dimension-based deep learning approach for pavement crack detection in transportation service management","volume":"19","author":"Cao","year":"2022","journal-title":"IEEE Trans. Netw. Serv. Manag."},{"issue":"10","key":"10.1016\/j.neucom.2026.134256_bib0170","doi-asserted-by":"crossref","first-page":"555","DOI":"10.3390\/fractalfract8100555","article-title":"Factors controlling differences in morphology and fractal characteristics of organic pores of longmaxi shale in southern Sichuan basin, China","volume":"8","author":"Wang","year":"2024","journal-title":"Fractal Fract."},{"key":"10.1016\/j.neucom.2026.134256_bib0175","series-title":"Proceedings of the Web Information Systems Engineering - 20th International Conference","first-page":"660","article-title":"Learning relational fractals for deep knowledge graph embedding in online social networks","author":"Zhang","year":"2019"},{"key":"10.1016\/j.neucom.2026.134256_bib0180","doi-asserted-by":"crossref","first-page":"707","DOI":"10.1007\/s00778-015-0394-1","article-title":"Fast rule mining in ontological knowledge bases with AMIE+","volume":"24","author":"Gal\u00e1rraga","year":"2015","journal-title":"VLDB J."},{"issue":"1","key":"10.1016\/j.neucom.2026.134256_bib0185","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1111\/j.1468-2486.2009.00914.x","article-title":"Crisis early warning and decision support: contemporary approaches and thoughts on future research","volume":"12","author":"O\u2019Brien","year":"2010","journal-title":"Int. Stud. Rev."},{"key":"10.1016\/j.neucom.2026.134256_bib0190","series-title":"International Studies Association Annual Convention","first-page":"1","article-title":"GDELT: global data on events, location, and tone, 1979\u20132012","author":"Leetaru","year":"2013"},{"key":"10.1016\/j.neucom.2026.134256_bib0195","first-page":"2121","article-title":"Adaptive subgradient methods for online learning and stochastic optimization","volume":"12","author":"Duchi","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"10.1016\/j.neucom.2026.134256_bib0200","series-title":"Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing","first-page":"2001","article-title":"HyTE: hyperplane-based temporally aware knowledge graph embedding","author":"Dasgupta","year":"2018"},{"key":"10.1016\/j.neucom.2026.134256_bib0205","series-title":"Proceedings of the Thirty-Fourth Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence","first-page":"3988","article-title":"Diachronic embedding for temporal knowledge graph completion","author":"Goel","year":"2020"},{"key":"10.1016\/j.neucom.2026.134256_bib0210","series-title":"Proceedings of the Twenty-Eighth International Conference on Computational Linguistics","first-page":"1583","article-title":"TeRo: a time-aware knowledge graph embedding via temporal rotation","author":"Xu","year":"2020"},{"issue":"5","key":"10.1016\/j.neucom.2026.134256_bib0215","first-page":"4838","article-title":"Geometric algebra based embeddings for static and temporal knowledge graph completion","volume":"35","author":"Xu","year":"2023","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.neucom.2026.134256_bib0220","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2024.120430","article-title":"SANe: space adaptation network for temporal knowledge graph completion","volume":"667","author":"Li","year":"2024","journal-title":"Inf. Sci."},{"key":"10.1016\/j.neucom.2026.134256_bib0225","series-title":"Proceedings of the Neural Information Processing - 31st International Conference","first-page":"91","article-title":"Learning granularity representation for temporal knowledge graph completion","author":"Zhang","year":"2024"},{"key":"10.1016\/j.neucom.2026.134256_bib0230","series-title":"Proceedings of the Association for Computational Linguistics","first-page":"12697","article-title":"Disentangled multi-span evolutionary network against temporal knowledge graph reasoning","author":"Dong","year":"2025"},{"key":"10.1016\/j.neucom.2026.134256_bib0235","series-title":"Proceedings of the ACM on Web Conference, World Wide Web Conference","first-page":"3561","article-title":"Tackling sparse facts for temporal knowledge graph completion","author":"Zhang","year":"2025"},{"key":"10.1016\/j.neucom.2026.134256_bib0240","series-title":"Proceedings of the Neural Information Processing Systems","article-title":"TFLEX: temporal feature-logic embedding framework for complex reasoning over temporal knowledge graph","author":"Lin","year":"2023"},{"key":"10.1016\/j.neucom.2026.134256_bib0245","series-title":"Proceedings of the Thirty-Sixth Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence","first-page":"4120","article-title":"TLogic: temporal logical rules for explainable link forecasting on temporal knowledge graphs","author":"Liu","year":"2022"},{"key":"10.1016\/j.neucom.2026.134256_bib0250","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2025.114336","article-title":"Knowledge attention via radial basis functions for temporal knowledge graphs completion","volume":"329","author":"Wang","year":"2025","journal-title":"Knowl.-based Syst."},{"key":"10.1016\/j.neucom.2026.134256_bib0255","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2025.130941","article-title":"Large language model with iteratively prompt for temporal knowledge graph completion","volume":"651","author":"Yang","year":"2025","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2026.134256_bib0260","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2025.114094","article-title":"Leveraging temporal validity of rules via LLMs for enhanced temporal knowledge graph reasoning","volume":"327","author":"Pan","year":"2025","journal-title":"Knowl.-based Syst."},{"key":"10.1016\/j.neucom.2026.134256_bib0265","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2025.113479","article-title":"Diachronic semantic encoding based on pre-trained language model for temporal knowledge graph reasoning","volume":"318","author":"Deng","year":"2025","journal-title":"Knowl.-based Syst."},{"key":"10.1016\/j.neucom.2026.134256_bib0270","series-title":"Proceedings of the Eighth International Conference on Learning Representations","article-title":"Tensor decompositions for temporal knowledge base completion","author":"Lacroix","year":"2020"},{"key":"10.1016\/j.neucom.2026.134256_bib0275","series-title":"Proceedings of the Database Systems for Advanced Applications","first-page":"673","article-title":"BiQCap: a biquaternion and capsule network-based embedding model for temporal knowledge graph completion","author":"Zhang","year":"2023"},{"issue":"10","key":"10.1016\/j.neucom.2026.134256_bib0280","doi-asserted-by":"crossref","first-page":"14018","DOI":"10.1109\/TNNLS.2023.3274230","article-title":"QDN: a quadruplet distributor network for temporal knowledge graph completion","volume":"35","author":"Wang","year":"2024","journal-title":"IEEE Transactions on Neural Networks and Learning Systems."},{"key":"10.1016\/j.neucom.2026.134256_bib0285","series-title":"Visualizing data using t-SNE","first-page":"2579","author":"van der Maaten","year":"2008"}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226016541?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226016541?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T20:43:16Z","timestamp":1785876196000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925231226016541"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":57,"alternative-id":["S0925231226016541"],"URL":"https:\/\/doi.org\/10.1016\/j.neucom.2026.134256","relation":{},"ISSN":["0925-2312"],"issn-type":[{"value":"0925-2312","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"DyFract: Dynamic fractal embedding with semantic constraints for temporal knowledge graph completion","name":"articletitle","label":"Article Title"},{"value":"Neurocomputing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neucom.2026.134256","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"134256"}}