{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T13:21:54Z","timestamp":1783171314928,"version":"3.54.6"},"reference-count":38,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"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":["12471330"],"award-info":[{"award-number":["12471330"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","award":["ZR2025MS71"],"award-info":[{"award-number":["ZR2025MS71"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neurocomputing"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.neucom.2026.133803","type":"journal-article","created":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T15:31:52Z","timestamp":1777563112000},"page":"133803","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Spectral clustering methods for signed hypergraphs"],"prefix":"10.1016","volume":"690","author":[{"given":"Mingwei","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunping","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiaqi","family":"Song","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2818-7175","authenticated-orcid":false,"given":"Xingqin","family":"Qi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.neucom.2026.133803_bib0005","series-title":"Networks: an Introduction","author":"Newman","year":"2010"},{"key":"10.1016\/j.neucom.2026.133803_bib0010","series-title":"Network Science","author":"Barab\u00e1si","year":"2016"},{"key":"10.1016\/j.neucom.2026.133803_bib0015","series-title":"Proceedings of the SIGCHI Conference on Human Factors in Computing Systems","first-page":"1361","article-title":"Signed networks in social media","author":"Leskovec","year":"2010"},{"key":"10.1016\/j.neucom.2026.133803_bib0020","series-title":"Hypergraphs: Combinatorics of Finite Sets","author":"Berge","year":"1989"},{"key":"10.1016\/j.neucom.2026.133803_bib0025","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.physrep.2020.05.004","article-title":"Networks beyond pairwise interactions: structure and dynamics","volume":"874","author":"Battiston","year":"2020","journal-title":"Phys. Rep."},{"key":"10.1016\/j.neucom.2026.133803_bib0030","series-title":"[1992] Proceedings of the Second Great Lakes Symposium on VLSI","first-page":"159","article-title":"A signed hypergraph model of constrained via minimization","author":"Shi","year":"1991"},{"issue":"1\u20133","key":"10.1016\/j.neucom.2026.133803_bib0035","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1016\/S0166-218X(98)00092-4","article-title":"A characterization of signed hypergraphs and its applications to VLSI via minimization and logic synthesis","volume":"90","author":"Shi","year":"1999","journal-title":"Discrete Appl. Math."},{"key":"10.1016\/j.neucom.2026.133803_bib0040","first-page":"1","article-title":"BGIC: a novel bi-dimensional gravitational influence centrality method for finding key nodes in signed hypergraphs","volume":"202","author":"Tang","year":"2026","journal-title":"Neurocomputing"},{"issue":"12","key":"10.1016\/j.neucom.2026.133803_bib0045","doi-asserted-by":"crossref","first-page":"7821","DOI":"10.1073\/pnas.122653799","article-title":"Community structure in social and biological networks","volume":"99","author":"Girvan","year":"2002","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"issue":"3","key":"10.1016\/j.neucom.2026.133803_bib0050","doi-asserted-by":"crossref","first-page":"1084","DOI":"10.1016\/j.ipm.2018.03.005","article-title":"Tracking community evolution in social networks: a survey","volume":"56","author":"Dakiche","year":"2019","journal-title":"Inf. Process. Manag."},{"issue":"23","key":"10.1016\/j.neucom.2026.133803_bib0055","doi-asserted-by":"crossref","first-page":"8577","DOI":"10.1073\/pnas.0601602103","article-title":"Modularity and community structure in networks","volume":"103","author":"Newman","year":"2006","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"4","key":"10.1016\/j.neucom.2026.133803_bib0060","doi-asserted-by":"crossref","first-page":"1118","DOI":"10.1073\/pnas.0706851105","article-title":"Maps of random walks on complex networks reveal community structure","volume":"105","author":"Rosvall","year":"2008","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"3","key":"10.1016\/j.neucom.2026.133803_bib0065","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevE.80.036115","article-title":"Community detection in networks with positive and negative links","volume":"80","author":"Traag","year":"2009","journal-title":"Phys. Rev. E"},{"key":"10.1016\/j.neucom.2026.133803_bib0070","series-title":"Algorithms and Models for the Web Graph","first-page":"52","article-title":"Modularity based community detection in hypergraphs","volume":"vol. 13894","author":"Kami\u0144ski","year":"2023"},{"key":"10.1016\/j.neucom.2026.133803_bib0075","series-title":"Advances in Neural Information Processing Systems","first-page":"141","article-title":"Flow-based community detection in hypergraphs","author":"Eriksson","year":"2022"},{"issue":"3","key":"10.1016\/j.neucom.2026.133803_bib0080","doi-asserted-by":"crossref","first-page":"1439","DOI":"10.1109\/TKDE.2024.3523021","article-title":"Self-Correcting clustering","volume":"37","author":"Wang","year":"2025","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.neucom.2026.133803_bib0085","doi-asserted-by":"crossref","first-page":"4227","DOI":"10.1109\/TNSE.2025.3570354","article-title":"Contrastive learning for Multi-Layer network community detection via learnable network augmentation","volume":"12","author":"Teng","year":"2025","journal-title":"IEEE Trans. Netw. Sci. Eng."},{"issue":"2, Part A","key":"10.1016\/j.neucom.2026.133803_bib0090","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2025.104410","article-title":"Multi-scale graph contrastive learning for community detection in dynamic graphs","volume":"63","author":"Teng","year":"2026","journal-title":"Inf. Process. Manag."},{"key":"10.1016\/j.neucom.2026.133803_bib0095","series-title":"Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence and Thirty-Seventh Conference on Innovative Applications of Artificial Intelligence and Fifteenth Symposium on Educational Advances in Artificial Intelligence","first-page":"21679","article-title":"K-hop hypergraph neural network: a comprehensive aggregation approach","volume":"vol. 39","author":"Xie","year":"2025"},{"issue":"4","key":"10.1016\/j.neucom.2026.133803_bib0100","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1007\/s11222-007-9033-z","article-title":"A tutorial on spectral clustering","volume":"17","author":"Luxburg","year":"2007","journal-title":"Stat. Comput."},{"key":"10.1016\/j.neucom.2026.133803_bib0105","series-title":"Advances in Neural Information Processing Systems","article-title":"Learning with hypergraphs: clustering, classification, and embedding","volume":"vol. 19","author":"Zhou","year":"2006"},{"key":"10.1016\/j.neucom.2026.133803_bib0110","series-title":"Proceedings of the 2010 SIAM International Conference on Data Mining (SDM)","first-page":"559","article-title":"Spectral analysis of signed graphs for clustering, prediction and visualization","author":"Kunegis","year":"2010"},{"key":"10.1016\/j.neucom.2026.133803_bib0115","series-title":"Proceedings of the 21st ACM International Conference on Information and Knowledge Management","first-page":"615","article-title":"Scalable clustering of signed networks using balance normalized CUT","author":"Chiang","year":"2012"},{"key":"10.1016\/j.neucom.2026.133803_bib0120","first-page":"345","article-title":"Modularity definition and optimization algorithm for community detection in signed hypergraphs","volume":"412","author":"Du","year":"2025","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2026.133803_bib0125","series-title":"2023 5th International Conference on Data-Driven Optimization of Complex Systems (DOCS)","first-page":"1","article-title":"Structural balance computation of signed hypergraphs via memetic algorithm","author":"Han","year":"2023"},{"issue":"5","key":"10.1016\/j.neucom.2026.133803_bib0130","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1037\/h0046049","article-title":"Structural balance: a generalization of heider\u2019s theory","volume":"63","author":"Cartwright","year":"1956","journal-title":"Psychol. Rev."},{"key":"10.1016\/j.neucom.2026.133803_bib0135","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1307\/mmj\/1028989917","article-title":"On the notion of balance of a signed graph","volume":"2","author":"Harary","year":"1953","journal-title":"Mich. Math. J."},{"key":"10.1016\/j.neucom.2026.133803_bib0140","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1177\/001872676702000206","article-title":"Clustering and structural balance in graphs","volume":"20","author":"Davis","year":"1967","journal-title":"Hum. Relat."},{"key":"10.1016\/j.neucom.2026.133803_bib0145","series-title":"Advances in Neural Information Processing Systems","first-page":"313","article-title":"A unified view of kernel k-means, spectral clustering and graph cuts","author":"Dhillon","year":"2005"},{"issue":"1","key":"10.1016\/j.neucom.2026.133803_bib0150","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/0003-682X(89)90030-3","article-title":"Vibration analysis of plates with cutouts by the modified Rayleigh-Ritz method","volume":"28","author":"Lam","year":"1989","journal-title":"Appl. Acoust."},{"key":"10.1016\/j.neucom.2026.133803_bib0155","series-title":"Concept Acquisition Through Representational Adjustment","author":"Schlimmer","year":"1987"},{"key":"10.1016\/j.neucom.2026.133803_bib0160","series-title":"*Proceedings of the 28th ACM International Conference on Information and Knowledge Management* (CIKM \u201919)","first-page":"1221","article-title":"Balance in signed bipartite networks","author":"Derr","year":"2019"},{"key":"10.1016\/j.neucom.2026.133803_bib0165","series-title":"*Proceedings of the 23rd International Joint Conference on Artificial Intelligence* (IJCAI 2013)","article-title":"A novel Bayesian similarity measure for recommender systems","author":"Guo","year":"2013"},{"key":"10.1016\/j.neucom.2026.133803_bib0170","series-title":"Advances in Neural Information Processing Systems","article-title":"HyperGCN: a new method for training graph convolutional networks on hypergraphs","volume":"vol. 32","author":"Yadati","year":"2019"},{"key":"10.1016\/j.neucom.2026.133803_bib0175","series-title":"Advances in Neural Information Processing Systems","article-title":"Clustering signed networks with the geometric mean of laplacians","volume":"vol. 29","author":"Mercado","year":"2016"},{"key":"10.1016\/j.neucom.2026.133803_bib0180","first-page":"583","article-title":"Cluster ensembles \u2014 a knowledge reuse framework for combining multiple partitions","volume":"3","author":"Strehl","year":"2003","journal-title":"J. Mach. Learn. Res."},{"key":"10.1016\/j.neucom.2026.133803_bib0185","first-page":"2837","article-title":"Information theoretic measures for clusterings comparison: variants, properties, normalization and correction for chance","volume":"11","author":"Vinh","year":"2010","journal-title":"J. Mach. Learn. Res."},{"issue":"6","key":"10.1016\/j.neucom.2026.133803_bib0190","doi-asserted-by":"crossref","first-page":"446","DOI":"10.1037\/h0032674","article-title":"Univariate versus multivariate tests in repeated-measures experiments","volume":"77","author":"Davidson","year":"1972","journal-title":"Psychol. Bull."}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226012002?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226012002?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T13:00:00Z","timestamp":1783170000000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925231226012002"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":38,"alternative-id":["S0925231226012002"],"URL":"https:\/\/doi.org\/10.1016\/j.neucom.2026.133803","relation":{},"ISSN":["0925-2312"],"issn-type":[{"value":"0925-2312","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Spectral clustering methods for signed hypergraphs","name":"articletitle","label":"Article Title"},{"value":"Neurocomputing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neucom.2026.133803","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":"133803"}}