{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,19]],"date-time":"2026-04-19T06:40:24Z","timestamp":1776580824106,"version":"3.51.2"},"reference-count":64,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"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":["52171261"],"award-info":[{"award-number":["52171261"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information and Software Technology"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.infsof.2026.108134","type":"journal-article","created":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T00:17:26Z","timestamp":1774311446000},"page":"108134","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Graph-structured data analysis of component failure in autonomous cargo ships based on feature fusion"],"prefix":"10.1016","volume":"195","author":[{"given":"Zizhao","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianxiang","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liping","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jichuan","family":"Kang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.infsof.2026.108134_b1","series-title":"IMO MARITIME SAFETY COMMITTEE 105th Session 20-29 April 2022","year":"2022"},{"key":"10.1016\/j.infsof.2026.108134_b2","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2024.109943","article-title":"An improved failure mode and effect analysis method for group decision-making in utility tunnels construction project risk evaluation","volume":"244","author":"Zhang","year":"2024","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"10.1016\/j.infsof.2026.108134_b3","series-title":"Maritime Safety Committee (103rd Session), 2021 London","article-title":"Outcome of the regulatory scoping exercise for the use of maritime autonomous surface ships (MASS)","author":"International Maritime","year":"2021"},{"key":"10.1016\/j.infsof.2026.108134_b4","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijmecsci.2024.109086","article-title":"Vortex-induced vibrations of catenary risers in varied flow angles","volume":"269","author":"Liu","year":"2024","journal-title":"Int. J. Mech. Sci."},{"key":"10.1016\/j.infsof.2026.108134_b5","series-title":"Data collection and labeling techniques for machine learning","author":"Huang","year":"2024"},{"key":"10.1016\/j.infsof.2026.108134_b6","article-title":"A semantic and intelligent focused crawler based on BERT semantic vector space model and hybrid algorithm (october 2024)","author":"Huang","year":"2025","journal-title":"IEEE Access"},{"key":"10.1016\/j.infsof.2026.108134_b7","series-title":"4th IEEE International Conference on Electronic Technology, Communication and Information, ICETCI 2024, May 24, 2024\u2013May 26, 2024","first-page":"638","article-title":"Research on intelligent grid fault prediction communication system based on computer big data","author":"Wu","year":"2024"},{"key":"10.1016\/j.infsof.2026.108134_b8","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2023.109530","article-title":"A data aggregation-based spatiotemporal model for rail transit risk path forecasting","volume":"239","author":"Xue","year":"2023","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"10.1016\/j.infsof.2026.108134_b9","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2024.111892","article-title":"DSTN: Dynamic spatio-temporal network for early fault warning in chemical processes","volume":"296","author":"Duan","year":"2024","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.infsof.2026.108134_b10","article-title":"DA-BAG: A multi-model fusion text classification method combining BERT and GCN using self-domain adversarial training","author":"Shao","year":"2024","journal-title":"J. Intell. Inf. Syst."},{"key":"10.1016\/j.infsof.2026.108134_b11","series-title":"Enhancing reliability of steel production lines through advanced knowledge graph-based fault diagnosis model","author":"Han","year":"2024"},{"key":"10.1016\/j.infsof.2026.108134_b12","series-title":"From pixels to insights: A survey on automatic chart understanding in the era of large foundation models","author":"Huang","year":"2024"},{"key":"10.1016\/j.infsof.2026.108134_b13","doi-asserted-by":"crossref","first-page":"509","DOI":"10.3390\/info15080509","article-title":"Construction of knowledge graphs: Current state and challenges","volume":"15","author":"Hofer","year":"2024","journal-title":"Information"},{"key":"10.1016\/j.infsof.2026.108134_b14","series-title":"GraphTransfer: A generic feature fusion framework for collaborative filtering","author":"Xia","year":"2024"},{"key":"10.1016\/j.infsof.2026.108134_b15","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2024.102921","article-title":"Multi-label feature selection with missing labels by weak-label fusion fuzzy discernibility pair","volume":"117","author":"Dai","year":"2025","journal-title":"Inf. Fusion"},{"key":"10.1016\/j.infsof.2026.108134_b16","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2025.102935","article-title":"Interpretable degradation tensor modeling through multi-scale and multi-level time-frequency feature fusion for machine health monitoring","volume":"117","author":"Yan","year":"2025","journal-title":"Inf. Fusion"},{"key":"10.1016\/j.infsof.2026.108134_b17","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.126722","article-title":"DPFSI: A legal judgment prediction method based on deontic logic prompt and fusion of law article statistical information","volume":"272","author":"Meng","year":"2025","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.infsof.2026.108134_b18","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2020.106348","article-title":"A multi-feature fusion model for Chinese relation extraction with entity sense","volume":"206","author":"Zhang","year":"2020","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.infsof.2026.108134_b19","doi-asserted-by":"crossref","unstructured":"A.A.I.M. Sadot, M.M. Mehjabin, A. Mahafuz, A Novel Approach to Efficient Multilabel Text Classification: BERT-Federated Learning Fusion, in: 2023 26th International Conference on Computer and Information Technology, ICCIT, 2023, pp. 1\u20136.","DOI":"10.1109\/ICCIT60459.2023.10441264"},{"key":"10.1016\/j.infsof.2026.108134_b20","series-title":"Progress of fruit juices authenticity technology based on machine learning and web crawler algorithm","author":"Sun","year":"2023"},{"key":"10.1016\/j.infsof.2026.108134_b21","series-title":"Influencing factors and action mechanism of system vulnerability in major construction projects","author":"Zhao","year":"2023"},{"key":"10.1016\/j.infsof.2026.108134_b22","series-title":"26th International Conference on Very Large Data Bases, VLDB 2000, September 10, 2000\u2013September 14, 2000","first-page":"527","article-title":"Focused crawling using context graphs","author":"Diligentit","year":"2000"},{"key":"10.1016\/j.infsof.2026.108134_b23","doi-asserted-by":"crossref","DOI":"10.1088\/1757-899X\/569\/5\/052030","article-title":"Multilingual focused crawler system based on web content extraction and path configuration","volume":"569","author":"Wang","year":"2019","journal-title":"IOP Conf. Ser.: Mater. Sci. Eng."},{"key":"10.1016\/j.infsof.2026.108134_b24","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1023\/A:1009953814988","article-title":"Automating the construction of internet portals with machine learning","volume":"3","author":"McCallum","year":"2000","journal-title":"Inf. Retr."},{"key":"10.1016\/j.infsof.2026.108134_b25","series-title":"Learning to extract information from large websites using sequential models","author":"Vydiswaran","year":"2005"},{"key":"10.1016\/j.infsof.2026.108134_b26","article-title":"A novel combining method of dynamic and static web crawler with parallel computing","author":"Liu","year":"2024","journal-title":"Multimedia Tools Appl."},{"key":"10.1016\/j.infsof.2026.108134_b27","doi-asserted-by":"crossref","first-page":"1001","DOI":"10.1016\/j.datak.2009.04.002","article-title":"Improving the performance of focused web crawlers","volume":"68","author":"Batsakis","year":"2009","journal-title":"Data Knowl. Eng."},{"key":"10.1016\/j.infsof.2026.108134_b28","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1016\/j.datak.2006.01.012","article-title":"Using HMM to learn user browsing patterns for focused web crawling","volume":"59","author":"Liu","year":"2006","journal-title":"Data Knowl. Eng."},{"key":"10.1016\/j.infsof.2026.108134_b29","series-title":"3rd IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018, October 12, 2018\u2013October 14, 2018","first-page":"2195","article-title":"Application of ant colony algorithm in crawler","author":"Teng","year":"2018"},{"key":"10.1016\/j.infsof.2026.108134_b30","series-title":"Proceedings - 2nd International Conference on Knowledge and Systems Engineering","first-page":"217","article-title":"Crawl topical Vietnamese web pages using genetic algorithm","author":"Nhan","year":"2010"},{"key":"10.1016\/j.infsof.2026.108134_b31","series-title":"Symmetry","article-title":"A semantic and optimized focused crawler based on semantic graph and genetic algorithm","author":"Huang","year":"2024"},{"key":"10.1016\/j.infsof.2026.108134_b32","series-title":"Revisiting semi-supervised learning with graph embeddings","author":"Yang","year":"2016"},{"key":"10.1016\/j.infsof.2026.108134_b33","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.130393","article-title":"A physically inspired and bounded metric learning framework for fault detection and multi-class classification in mechanical systems","volume":"302","author":"Li","year":"2026","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.infsof.2026.108134_b34","series-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems","first-page":"1025","article-title":"Inductive representation learning on large graphs","author":"Hamilton","year":"2017"},{"key":"10.1016\/j.infsof.2026.108134_b35","series-title":"Graph attention networks","author":"Velikovi","year":"2017"},{"key":"10.1016\/j.infsof.2026.108134_b36","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2025.111865","article-title":"Causal graph inference with adaptive dynamic structure learning for mechanism-oriented fault diagnosis in dynamic industrial systems","volume":"266","author":"Li","year":"2026","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"10.1016\/j.infsof.2026.108134_b37","doi-asserted-by":"crossref","DOI":"10.1016\/j.ymssp.2025.112762","article-title":"Adaptive expert ensembles for fault diagnosis: A graph causal framework addressing distributional shifts","volume":"234","author":"Li","year":"2025","journal-title":"Mech. Syst. Signal Process."},{"key":"10.1016\/j.infsof.2026.108134_b38","doi-asserted-by":"crossref","first-page":"356","DOI":"10.1038\/s41598-024-83535-9","article-title":"CoGraphNet for enhanced text classification using word-sentence heterogeneous graph representations and improved interpretability","volume":"15","author":"Li","year":"2025","journal-title":"Sci. Rep."},{"key":"10.1016\/j.infsof.2026.108134_b39","doi-asserted-by":"crossref","DOI":"10.1007\/s10489-023-04585-6","article-title":"GACaps-HTC: graph attention capsule network for hierarchical text classification","author":"Bang","year":"2023","journal-title":"Appl. Intell."},{"key":"10.1016\/j.infsof.2026.108134_b40","series-title":"Knowledge graph completion based on the comparison of graph structures and text semantics computer engineering and applications","author":"Zhai","year":"2024"},{"key":"10.1016\/j.infsof.2026.108134_b41","article-title":"Short text classification based on hierarchical heterogeneous graph and LDA fusion","volume":"12","author":"Xu","year":"2023","journal-title":"Electronics"},{"key":"10.1016\/j.infsof.2026.108134_b42","doi-asserted-by":"crossref","first-page":"396","DOI":"10.1162\/qss_a_00021","article-title":"Microsoft academic graph: When experts are not enough","volume":"1","author":"Wang","year":"2020","journal-title":"Quant. Sci. Stud."},{"key":"10.1016\/j.infsof.2026.108134_b43","doi-asserted-by":"crossref","DOI":"10.3390\/electronics11152423","article-title":"HFGNN-proto: Hesitant fuzzy graph neural network-based prototypical network for few-shot text classification","volume":"11","author":"Guo","year":"2022","journal-title":"Electronics"},{"key":"10.1016\/j.infsof.2026.108134_b44","doi-asserted-by":"crossref","DOI":"10.1007\/s10462-024-10891-3","article-title":"The interactive fusion of characters and lexical information for Chinese named entity recognition","volume":"57","author":"Wang","year":"2024","journal-title":"Artif. Intell. Rev."},{"key":"10.1016\/j.infsof.2026.108134_b45","doi-asserted-by":"crossref","DOI":"10.1145\/3537971","article-title":"Meta-information fusion of hierarchical semantics dependency and graph structure for structured text classification","volume":"17","author":"Wang","year":"2023","journal-title":"ACM Trans. Knowl. Discov. Data"},{"key":"10.1016\/j.infsof.2026.108134_b46","doi-asserted-by":"crossref","DOI":"10.1109\/ACCESS.2022.3218882","article-title":"RTN-GNNR: Fusing review text features and node features for graph neural network recommendation","volume":"10","author":"Xiao","year":"2022","journal-title":"IEEE Access"},{"key":"10.1016\/j.infsof.2026.108134_b47","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2021.116154","article-title":"Improvements in multi-document abstractive summarization using multi sentence compression with word graph and node alignment","volume":"190","author":"Agarwal","year":"2022","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.infsof.2026.108134_b48","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.120537","article-title":"Multi-modal fusion using fine-tuned self-attention and transfer learning for veracity analysis of web information","volume":"229","author":"Meel","year":"2023","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.infsof.2026.108134_b49","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.116517","article-title":"MDMN: Multi-task and domain adaptation based multi-modal network for early rumor detection","volume":"195","author":"Zhou","year":"2022","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.infsof.2026.108134_b50","first-page":"2146","article-title":"An optimization approach for energy management of hybrid vehicles based on dynamic programming and cuckoo search","volume":"31","author":"Ban","year":"2024","journal-title":"Teh. Vjesnik-Tech. Gaz."},{"key":"10.1016\/j.infsof.2026.108134_b51","doi-asserted-by":"crossref","DOI":"10.4018\/IJSWIS.331082","article-title":"TGCN-bert emoji prediction in information systems using TCN and GCN fusing features based on BERT","volume":"19","author":"Yang","year":"2023","journal-title":"Int. J. Semant. Web Inf. Syst."},{"key":"10.1016\/j.infsof.2026.108134_b52","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2023.126453","article-title":"Refined SBERT: Representing sentence BERT in manifold space","volume":"555","author":"Chu","year":"2023","journal-title":"Neurocomputing"},{"key":"10.1016\/j.infsof.2026.108134_b53","doi-asserted-by":"crossref","DOI":"10.3390\/info15030165","article-title":"Exploring community awareness of mangrove ecosystem preservation through sentence-BERT and K-means clustering","volume":"15","author":"Kusumaningrum","year":"2024","journal-title":"Information"},{"key":"10.1016\/j.infsof.2026.108134_b54","doi-asserted-by":"crossref","first-page":"7291","DOI":"10.1021\/acs.jcim.4c00759","article-title":"Mothra: Multiobjective de novo molecular generation using Monte Carlo tree search","volume":"64","author":"Suzuki","year":"2024","journal-title":"J. Chem. Inf. Model."},{"key":"10.1016\/j.infsof.2026.108134_b55","series-title":"Technical Safety, Reliability and Resilience: Methods and Processes","first-page":"101","article-title":"Failure modes and effects analysis","author":"H\u00e4ring","year":"2021"},{"key":"10.1016\/j.infsof.2026.108134_b56","doi-asserted-by":"crossref","DOI":"10.1016\/j.oceaneng.2024.117375","article-title":"Research on the failure modes of autonomous navigation equipment based on the improved expert evaluation method","volume":"300","author":"Zhang","year":"2024","journal-title":"Ocean Eng."},{"key":"10.1016\/j.infsof.2026.108134_b57","doi-asserted-by":"crossref","DOI":"10.1007\/s13278-024-01244-7","article-title":"CLUS-BET: improving influence propagation and classification in networks using a novel seed selection technique","volume":"14","author":"Saxena","year":"2024","journal-title":"Soc. Netw. Anal. Min."},{"key":"10.1016\/j.infsof.2026.108134_b58","doi-asserted-by":"crossref","first-page":"10516","DOI":"10.1007\/s10489-024-05708-3","article-title":"Dirichlet stochastic weights averaging for graph neural networks","volume":"54","author":"Park","year":"2024","journal-title":"Appl. Intell."},{"key":"10.1016\/j.infsof.2026.108134_b59","series-title":"Semi-supervised classification with graph convolutional networks","author":"Kipf","year":"2017"},{"key":"10.1016\/j.infsof.2026.108134_b60","series-title":"Graph attention networks","author":"Veli\u010dkovi\u0107","year":"2018"},{"key":"10.1016\/j.infsof.2026.108134_b61","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2020.107451","article-title":"Every node counts: Self-ensembling graph convolutional networks for semi-supervised learning","volume":"106","author":"Luo","year":"2020","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.infsof.2026.108134_b62","doi-asserted-by":"crossref","unstructured":"Y. Kim, T. Kim, W.Y. Shin, S.W. Kim, m. Assoc computing, MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation, in: 17th ACM International Conference on Web Search and Data Mining (WSDM), Merida, Mexico, 2024, pp. 332\u2013340.","DOI":"10.1145\/3616855.3635817"},{"key":"10.1016\/j.infsof.2026.108134_b63","doi-asserted-by":"crossref","first-page":"3031","DOI":"10.1109\/TPAMI.2023.3342224","article-title":"Binary graph convolutional network with capacity exploration","volume":"46","author":"Wang","year":"2024","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.infsof.2026.108134_b64","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.124602","article-title":"Addressing imbalance in graph datasets: Introducing GATE-GNN with graph ensemble weight attention and transfer learning for enhanced node classification","volume":"255","author":"Fofanah","year":"2024","journal-title":"Expert Syst. Appl."}],"container-title":["Information and Software Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0950584926001230?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0950584926001230?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,19]],"date-time":"2026-04-19T05:44:41Z","timestamp":1776577481000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0950584926001230"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":64,"alternative-id":["S0950584926001230"],"URL":"https:\/\/doi.org\/10.1016\/j.infsof.2026.108134","relation":{},"ISSN":["0950-5849"],"issn-type":[{"value":"0950-5849","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Graph-structured data analysis of component failure in autonomous cargo ships based on feature fusion","name":"articletitle","label":"Article Title"},{"value":"Information and Software Technology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.infsof.2026.108134","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":"108134"}}