{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T05:03:21Z","timestamp":1782968601108,"version":"3.54.5"},"reference-count":56,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2024,11,11]],"date-time":"2024-11-11T00:00:00Z","timestamp":1731283200000},"content-version":"vor","delay-in-days":49,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62072212"],"award-info":[{"award-number":["62072212"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013061","name":"Jilin Provincial Scientific and Technological Development Program","doi-asserted-by":"publisher","award":["20230201065GX"],"award-info":[{"award-number":["20230201065GX"]}],"id":[{"id":"10.13039\/501100013061","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013061","name":"Jilin Provincial Scientific and Technological Development Program","doi-asserted-by":"publisher","award":["20240101364JC"],"award-info":[{"award-number":["20240101364JC"]}],"id":[{"id":"10.13039\/501100013061","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Jilin Provincial Key Laboratory of Big Data Intelligent Cognition","award":["YDZJ202402075CXJD"],"award-info":[{"award-number":["YDZJ202402075CXJD"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,9,23]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Motivation<\/jats:title>\n                  <jats:p>Research shows that competing endogenous RNA is widely involved in gene regulation in cells, and identifying the association between circular RNA (circRNA), microRNA (miRNA), and cancer can provide new hope for disease diagnosis, treatment, and prognosis. However, affected by reductionism, previous studies regarded the prediction of circRNA-miRNA interaction, circRNA-cancer association, and miRNA-cancer association as separate studies. Currently, few models are capable of simultaneously predicting these three associations.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Inspired by holism, we propose a multi-task prediction method based on neighborhood structure embedding and signed graph representation learning, CMCSG, to infer the relationship between circRNA, miRNA, and cancer. Our method aims to extract feature descriptors of all molecules from the circRNA-miRNA-cancer regulatory network using known types of association information to predict unknown types of molecular associations. Specifically, we first constructed the circRNA-miRNA-cancer association network (CMCN), which is constructed based on the experimentally verified biomedical entity regulatory network; next, we combine topological structure embedding methods to extract feature representations in CMCN from local and global perspectives, and use denoising autoencoder for enhancement; then, combined with balance theory and state theory, molecular features are extracted from the point of social relations through the propagation and aggregation of signed graph attention network; finally, the GBDT classifier is used to predict the association of molecules. The results show that CMCSG can effectively predict the relationship between circRNA, miRNA, and cancer. Additionally, the case studies also demonstrate that CMCSG is capable of accurately identifying biomarkers across various types of cancer. The data and source code can be found at https:\/\/github.com\/1axin\/CMCSG.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bib\/bbae573","type":"journal-article","created":{"date-parts":[[2024,11,11]],"date-time":"2024-11-11T05:06:38Z","timestamp":1731301598000},"source":"Crossref","is-referenced-by-count":4,"title":["A multi-task prediction method based on neighborhood structure embedding and signed graph representation learning to infer the relationship between circRNA, miRNA, and cancer"],"prefix":"10.1093","volume":"25","author":[{"given":"Lan","family":"Huang","sequence":"first","affiliation":[{"name":"Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education , College of Computer Science and Technology, , No. 2699, Qianjin Street, Changchun 130012 ,","place":["China"]},{"name":"Jilin University , College of Computer Science and Technology, , No. 2699, Qianjin Street, Changchun 130012 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0554-2936","authenticated-orcid":false,"given":"Xin-Fei","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education , College of Computer Science and Technology, , No. 2699, Qianjin Street, Changchun 130012 ,","place":["China"]},{"name":"Jilin University , College of Computer Science and Technology, , No. 2699, Qianjin Street, Changchun 130012 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4751-0708","authenticated-orcid":false,"given":"Yan","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education , College of Computer Science and Technology, , No. 2699, Qianjin Street, Changchun 130012 ,","place":["China"]},{"name":"Jilin University , College of Computer Science and Technology, , No. 2699, Qianjin Street, Changchun 130012 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7162-7826","authenticated-orcid":false,"given":"Ren-Chu","family":"Guan","sequence":"additional","affiliation":[{"name":"Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education , College of Computer Science and Technology, , No. 2699, Qianjin Street, Changchun 130012 ,","place":["China"]},{"name":"Jilin University , College of Computer Science and Technology, , No. 2699, Qianjin Street, Changchun 130012 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nan","family":"Sheng","sequence":"additional","affiliation":[{"name":"Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education , College of Computer Science and Technology, , No. 2699, Qianjin Street, Changchun 130012 ,","place":["China"]},{"name":"Jilin University , College of Computer Science and Technology, , No. 2699, Qianjin Street, Changchun 130012 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xu-Ping","family":"Xie","sequence":"additional","affiliation":[{"name":"Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education , College of Computer Science and Technology, , No. 2699, Qianjin Street, Changchun 130012 ,","place":["China"]},{"name":"Jilin University , College of Computer Science and Technology, , No. 2699, Qianjin Street, Changchun 130012 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education , College of Computer Science and Technology, , No. 2699, Qianjin Street, Changchun 130012 ,","place":["China"]},{"name":"Jilin University , College of Computer Science and Technology, , No. 2699, Qianjin Street, Changchun 130012 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zi-qi","family":"Zhao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education , College of Computer Science and Technology, , No. 2699, Qianjin Street, Changchun 130012 ,","place":["China"]},{"name":"Jilin University , College of Computer Science and Technology, , No. 2699, Qianjin Street, Changchun 130012 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2024,11,11]]},"reference":[{"key":"2024111105062450600_ref1","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1038\/nature11233","article-title":"Landscape of transcription in human cells","volume":"489","author":"Djebali","year":"2012","journal-title":"Nature"},{"key":"2024111105062450600_ref2","doi-asserted-by":"publisher","first-page":"849","DOI":"10.1038\/nrc3166","article-title":"MicroRNAs en route to the clinic: Progress in validating and targeting microRNAs for cancer therapy","volume":"11","author":"Kasinski","year":"2011","journal-title":"Nat Rev Cancer"},{"key":"2024111105062450600_ref3","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1186\/gm516","article-title":"MicroRNAs and the cancer phenotype: Profiling, signatures and clinical implications","volume":"5","author":"Stahlhut","year":"2013","journal-title":"Genome Med"},{"key":"2024111105062450600_ref4","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/j.cell.2009.01.002","article-title":"MicroRNAs: Target recognition and regulatory functions","volume":"136","author":"Bartel","year":"2009","journal-title":"Cell"},{"key":"2024111105062450600_ref5","doi-asserted-by":"publisher","first-page":"870","DOI":"10.1016\/j.cub.2009.03.059","article-title":"Redefining microRNA targets","volume":"19","author":"Seitz","year":"2009","journal-title":"Curr Biol"},{"key":"2024111105062450600_ref6","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1016\/j.cell.2011.07.014","article-title":"A ceRNA hypothesis: The Rosetta stone of a hidden RNA language?","volume":"146","author":"Salmena","year":"2011","journal-title":"Cell"},{"key":"2024111105062450600_ref7","doi-asserted-by":"publisher","first-page":"1033","DOI":"10.1038\/ng2079","article-title":"Target mimicry provides a new mechanism for regulation of microRNA activity","volume":"39","author":"Franco-Zorrilla","year":"2007","journal-title":"Nat Genet"},{"key":"2024111105062450600_ref8","doi-asserted-by":"publisher","first-page":"1033","DOI":"10.1038\/nature09144","article-title":"A coding-independent function of gene and pseudogene mRNAs regulates tumour biology","volume":"465","author":"Poliseno","year":"2010","journal-title":"Nature"},{"key":"2024111105062450600_ref9","doi-asserted-by":"publisher","first-page":"382","DOI":"10.1016\/j.cell.2011.09.032","article-title":"In vivo identification of tumor-suppressive PTEN ceRNAs in an oncogenic BRAF-induced mouse model of melanoma","volume":"147","author":"Karreth","year":"2011","journal-title":"Cell"},{"key":"2024111105062450600_ref10","doi-asserted-by":"publisher","first-page":"15524","DOI":"10.1073\/pnas.242606799","article-title":"Frequent deletions and down-regulation of micro-RNA genes miR15 and miR16 at 13q14 in chronic lymphocytic leukemia","volume":"99","author":"Calin","year":"2002","journal-title":"Proc Natl Acad Sci"},{"key":"2024111105062450600_ref11","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1038\/nbt0713-577","article-title":"First microRNA mimic enters clinic","volume":"31","author":"Austin","year":"2013","journal-title":"Nat Biotechnol"},{"key":"2024111105062450600_ref12","doi-asserted-by":"publisher","first-page":"520","DOI":"10.1093\/neuonc\/not218","article-title":"A small noncoding RNA signature found in exosomes of GBM patient serum as a diagnostic tool","volume":"16","author":"Manterola","year":"2014","journal-title":"Neuro Oncol"},{"key":"2024111105062450600_ref13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13059-014-0409-z","article-title":"Expanded identification and characterization of mammalian circular RNAs","volume":"15","author":"Guo","year":"2014","journal-title":"Genome Biol"},{"key":"2024111105062450600_ref14","doi-asserted-by":"publisher","first-page":"bbac407","DOI":"10.1093\/bib\/bbac407","article-title":"Updated review of advances in microRNAs and complex diseases: Towards systematic evaluation of computational models","volume":"23","author":"Huang","year":"2022","journal-title":"Brief Bioinform"},{"key":"2024111105062450600_ref15","doi-asserted-by":"publisher","first-page":"bbac397","DOI":"10.1093\/bib\/bbac397","article-title":"Updated review of advances in microRNAs and complex diseases: Experimental results, databases, webservers and data fusion","volume":"23","author":"Huang","year":"2022","journal-title":"Brief Bioinform"},{"key":"2024111105062450600_ref16","doi-asserted-by":"publisher","first-page":"bbac358","DOI":"10.1093\/bib\/bbac358","article-title":"Updated review of advances in microRNAs and complex diseases: Taxonomy, trends and challenges of computational models","volume":"23","author":"Huang","year":"2022","journal-title":"Brief Bioinform"},{"key":"2024111105062450600_ref17","doi-asserted-by":"publisher","first-page":"1067","DOI":"10.1038\/s42003-024-06734-0","article-title":"TriFusion enables accurate prediction of miRNA-disease association by a tri-channel fusion neural network","volume":"7","author":"Long","year":"2024","journal-title":"Communications Biology"},{"key":"2024111105062450600_ref18","doi-asserted-by":"publisher","first-page":"bbac021","DOI":"10.1093\/bib\/bbac021","article-title":"Prediction of potential miRNA\u2013disease associations based on stacked autoencoder","volume":"23","author":"Wang","year":"2022","journal-title":"Brief Bioinform"},{"key":"2024111105062450600_ref19","doi-asserted-by":"publisher","first-page":"bbae412","DOI":"10.1093\/bib\/bbae412","article-title":"HHOMR: A hybrid high-order moment residual model for miRNA-disease association prediction","volume":"25","author":"Li","year":"2024","journal-title":"Brief Bioinform"},{"key":"2024111105062450600_ref20","doi-asserted-by":"publisher","first-page":"4281","DOI":"10.1109\/JBHI.2024.3383591","article-title":"Motif-aware miRNA-disease association prediction via hierarchical attention network","volume":"28","author":"Zhao","year":"2024","journal-title":"IEEE J Biomed Health Inform"},{"key":"2024111105062450600_ref21","doi-asserted-by":"publisher","first-page":"320","DOI":"10.1109\/TBDATA.2023.3334673","article-title":"AMDECDA: Attention mechanism combined with data ensemble strategy for predicting CircRNA-disease association","volume":"10","author":"Wang","year":"2024","journal-title":"IEEE Trans Big Data"},{"key":"2024111105062450600_ref22","doi-asserted-by":"publisher","first-page":"bbac613","DOI":"10.1093\/bib\/bbac613","article-title":"Benchmarking of computational methods for predicting circRNA-disease associations","volume":"24","author":"Lan","year":"2023","journal-title":"Brief Bioinform"},{"key":"2024111105062450600_ref23","doi-asserted-by":"publisher","first-page":"1742","DOI":"10.1109\/JBHI.2023.3344714","article-title":"GSLCDA: An unsupervised deep graph structure learning method for predicting CircRNA-disease association","volume":"28","author":"Wang","year":"2023","journal-title":"IEEE J Biomed Health Inform"},{"key":"2024111105062450600_ref24","doi-asserted-by":"publisher","first-page":"bbad111","DOI":"10.1093\/bib\/bbad111","article-title":"A feature extraction method based on noise reduction for circRNA-miRNA interaction prediction combining multi-structure features in the association networks","volume":"24","author":"Wang","year":"2023","journal-title":"Brief Bioinform"},{"key":"2024111105062450600_ref25","doi-asserted-by":"publisher","first-page":"107478","DOI":"10.1016\/j.isci.2023.107478","article-title":"KS-CMI: A circRNA-miRNA interaction prediction method based on the signed graph neural network and denoising autoencoder","volume":"26","author":"Wang","year":"2023","journal-title":"Iscience"},{"key":"2024111105062450600_ref26","doi-asserted-by":"publisher","first-page":"958096","DOI":"10.3389\/fgene.2022.958096","article-title":"KGDCMI: A new approach for predicting circRNA\u2013miRNA interactions from multi-source information extraction and deep learning","volume":"13","author":"Wang","year":"2022","journal-title":"Front Genet"},{"key":"2024111105062450600_ref27","doi-asserted-by":"publisher","first-page":"108592","DOI":"10.1016\/j.isci.2023.108592","article-title":"Predicting circRNA-miRNA interactions utilizing transformer-based RNA sequential learning and high-order proximity preserved embedding","volume":"27","author":"Zhou","year":"2024","journal-title":"Iscience"},{"key":"2024111105062450600_ref28","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11432-024-4098-3","article-title":"BioKG-CMI: A multi-source feature fusion model based on biological knowledge graph for predicting circRNA\u2013miRNA interactions","volume":"67","author":"Wei","year":"2024","journal-title":"Science China Information Sciences"},{"key":"2024111105062450600_ref29","doi-asserted-by":"publisher","first-page":"2924","DOI":"10.1016\/j.csbj.2024.06.032","article-title":"A heterogeneous information network learning model with neighborhood-level structural representation for predicting lncRNA-miRNA interactions","volume":"23","author":"Zhao","year":"2024","journal-title":"Comput Struct Biotechnol J"},{"key":"2024111105062450600_ref30","doi-asserted-by":"publisher","first-page":"bbad276","DOI":"10.1093\/bib\/bbad276","article-title":"Multi-task prediction-based graph contrastive learning for inferring the relationship among lncRNAs, miRNAs and diseases","volume":"24","author":"Sheng","year":"2023","journal-title":"Brief Bioinform"},{"key":"2024111105062450600_ref31","doi-asserted-by":"publisher","first-page":"baaa085","DOI":"10.1093\/database\/baaa085","article-title":"CircR2Cancer: A manually curated database of associations between circRNAs and cancers","volume":"2020","author":"Lan","year":"2020","journal-title":"Database"},{"key":"2024111105062450600_ref32","article-title":"Learning role-based graph embeddings","author":"Ahmed","year":"2018","journal-title":"arXiv preprint arXiv:180202896"},{"key":"2024111105062450600_ref33","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1145\/3097983.3098061","volume-title":"Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","author":"Ribeiro","year":"2017"},{"key":"2024111105062450600_ref34","doi-asserted-by":"crossref","first-page":"1096","DOI":"10.1145\/1390156.1390294","volume-title":"Proceedings of the 25th International Conference on Machine Learning","author":"Vincent","year":"2008"},{"key":"2024111105062450600_ref35","doi-asserted-by":"crossref","first-page":"641","DOI":"10.1145\/1772690.1772756","volume-title":"Proceedings of the 19th International Conference on World Wide Web","author":"Leskovec","year":"2010"},{"key":"2024111105062450600_ref36","doi-asserted-by":"publisher","first-page":"566","DOI":"10.1007\/978-3-030-30493-5_53","volume-title":"Artificial Neural Networks and Machine Learning\u2013ICANN 2019: Workshop and Special Sessions: 28th International Conference on Artificial Neural Networks","author":"Huang","year":"2019"},{"key":"2024111105062450600_ref37","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1080\/00223980.1946.9917275","volume":"21","author":"Heider","year":"1946","journal-title":"Attitudes and cognitive organization"},{"key":"2024111105062450600_ref38","doi-asserted-by":"crossref","first-page":"743","DOI":"10.1145\/2124295.2124382","volume-title":"Proceedings of the Fifth ACM International Conference on Web Search and Data Mining","author":"Tang","year":"2012"},{"key":"2024111105062450600_ref39","first-page":"824","volume":"298","author":"Milo","year":"2002","journal-title":"Network motifs: simple building blocks of complex networks"},{"key":"2024111105062450600_ref40","first-page":"1189","article-title":"Greedy function approximation: A gradient boosting machine","author":"Friedman","year":"2001","journal-title":"Annals of statistics"},{"key":"2024111105062450600_ref41","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Machine learning"},{"key":"2024111105062450600_ref42","doi-asserted-by":"publisher","first-page":"2395","DOI":"10.1161\/CIRCULATIONAHA.106.682658","article-title":"Logistic regression","volume":"117","author":"LaValley","year":"2008","journal-title":"Circulation"},{"key":"2024111105062450600_ref43","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1109\/5254.708428","article-title":"Support vector machines","volume":"13","author":"Hearst","year":"1998","journal-title":"IEEE Intelligent Systems and their applications"},{"key":"2024111105062450600_ref44","doi-asserted-by":"publisher","first-page":"986","DOI":"10.1007\/978-3-540-39964-3_62","volume-title":"On the Move to Meaningful Internet Systems 2003: CoopIS, DOA, and ODBASE: OTM Confederated International Conferences, CoopIS, DOA, and ODBASE 2003, Catania, Sicily, Italy, November 3\u20137, 2003. Proceedings","author":"Guo","year":"2003"},{"key":"2024111105062450600_ref45","doi-asserted-by":"publisher","first-page":"2106","DOI":"10.1109\/TPAMI.2010.128","article-title":"Linear regression for face recognition","volume":"32","author":"Naseem","year":"2010","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"2024111105062450600_ref46","doi-asserted-by":"publisher","first-page":"6659695","DOI":"10.1155\/2021\/6659695","article-title":"Prediction of circRNA-miRNA associations based on network embedding","volume":"2021","author":"Lan","year":"2021","journal-title":"Complexity"},{"key":"2024111105062450600_ref47","doi-asserted-by":"publisher","first-page":"959701","DOI":"10.3389\/fgene.2022.959701","article-title":"GCNCMI: A graph convolutional neural network approach for predicting circRNA-miRNA interactions","volume":"13","author":"He","year":"2022","journal-title":"Front Genet"},{"key":"2024111105062450600_ref48","first-page":"205","volume-title":"CMIVGSD: circRNA-miRNA Interaction Prediction Based on Variational Graph Auto-Encoder and Singular Value Decomposition","author":"Qian","year":"2021"},{"key":"2024111105062450600_ref49","doi-asserted-by":"publisher","first-page":"987930","DOI":"10.3389\/fmicb.2022.987930","article-title":"Identifying circRNA-miRNA interaction based on multi-biological interaction fusion","volume":"13","author":"Yao","year":"2022","journal-title":"Front Microbiol"},{"key":"2024111105062450600_ref50","doi-asserted-by":"publisher","first-page":"5384","DOI":"10.1021\/acs.jcim.3c00852","article-title":"BCMCMI: A fusion model for predicting circRNA-miRNA interactions combining semantic and meta-path","volume":"63","author":"Wei","year":"2023","journal-title":"J Chem Inf Model"},{"key":"2024111105062450600_ref51","doi-asserted-by":"publisher","first-page":"107421","DOI":"10.1016\/j.compbiomed.2023.107421","article-title":"An efficient circRNA-miRNA interaction prediction model by combining biological text mining and wavelet diffusion-based sparse network structure embedding","volume":"165","author":"Wang","year":"2023","journal-title":"Comput Biol Med"},{"key":"2024111105062450600_ref52","first-page":"elad030","article-title":"DeepCMI: A graph-based model for accurate prediction of circRNA\u2013miRNA interactions with multiple information","volume":"23","author":"Li","year":"2023","journal-title":"Brief Funct Genomics"},{"key":"2024111105062450600_ref53","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1186\/s12859-024-05891-7","article-title":"BEROLECMI: A novel prediction method to infer circRNA-miRNA interaction from the role definition of molecular attributes and biological networks","volume":"25","author":"Wang","year":"2024","journal-title":"BMC bioinformatics"},{"key":"2024111105062450600_ref54","doi-asserted-by":"publisher","first-page":"7163","DOI":"10.1021\/acs.jcim.4c01118","article-title":"RBNE-CMI: An efficient method for predicting circRNA-miRNA interactions via multiattribute incomplete heterogeneous network embedding","volume":"64","author":"Yu","year":"2024","journal-title":"J Chem Inf Model"},{"key":"2024111105062450600_ref55","doi-asserted-by":"publisher","first-page":"1951","DOI":"10.1109\/TFUZZ.2023.3338565","article-title":"Fuzzy-based deep attributed graph clustering","volume":"32","author":"Yang","year":"2024","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"2024111105062450600_ref56","doi-asserted-by":"publisher","first-page":"3558","DOI":"10.1609\/aaai.v33i01.33013558","volume":"33","author":"Feng","year":"2019","journal-title":"Hypergraph neural networks"}],"container-title":["Briefings in Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bib\/article-pdf\/25\/6\/bbae573\/60580788\/bbae573.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bib\/article-pdf\/25\/6\/bbae573\/60580788\/bbae573.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,11]],"date-time":"2024-11-11T05:06:45Z","timestamp":1731301605000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bib\/article\/doi\/10.1093\/bib\/bbae573\/7889061"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,23]]},"references-count":56,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2024,9,23]]}},"URL":"https:\/\/doi.org\/10.1093\/bib\/bbae573","relation":{},"ISSN":["1467-5463","1477-4054"],"issn-type":[{"value":"1467-5463","type":"print"},{"value":"1477-4054","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2024,11]]},"published":{"date-parts":[[2024,9,23]]},"article-number":"bbae573"}}