{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T13:12:15Z","timestamp":1776085935322,"version":"3.50.1"},"reference-count":36,"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":["61991415"],"award-info":[{"award-number":["61991415"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Expert Systems with Applications"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.eswa.2026.132001","type":"journal-article","created":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T23:51:21Z","timestamp":1773273081000},"page":"132001","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Dynamic cognitive cycle-driven multimodal agent for knowledge graph completion"],"prefix":"10.1016","volume":"318","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-0788-2446","authenticated-orcid":false,"given":"Kai","family":"Yang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8218-3389","authenticated-orcid":false,"given":"Xinzhi","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0006-3105-648X","authenticated-orcid":false,"given":"Baoguo","family":"Lu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4577-9241","authenticated-orcid":false,"given":"Xiangfeng","family":"Luo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9633-4475","authenticated-orcid":false,"given":"Chengfan","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2739-0147","authenticated-orcid":false,"given":"Jianqiang","family":"Huang","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.eswa.2026.132001_bib0001","series-title":"Advances in neural information processing systems (neurIPS) 2024","article-title":"Reflective multi-agent collaboration based on large language models","author":"Bo","year":"2024"},{"key":"10.1016\/j.eswa.2026.132001_bib0002","series-title":"Proceedings of the 27th international conference on neural information processing systems - volume 2","first-page":"2787","article-title":"Translating embeddings for modeling multi-relational data","author":"Bordes","year":"2013"},{"key":"10.1016\/j.eswa.2026.132001_bib0003","series-title":"Proceedings of the 30th ACM international conference on multimedia","first-page":"3694","article-title":"Cross-modal knowledge graph contrastive learning for machine learning method recommendation","author":"Cao","year":"2022"},{"key":"10.1016\/j.eswa.2026.132001_bib0004","series-title":"Advances in neural information processing systems","first-page":"39090","article-title":"Otkge: multi-modal knowledge graph embeddings via optimal transport","volume":"vol. 35","author":"Cao","year":"2022"},{"key":"10.1016\/j.eswa.2026.132001_bib0005","series-title":"Proceedings of the 34th international conference on neural information processing systems","article-title":"Unsupervised learning of visual features by contrasting cluster assignments","author":"Caron","year":"2020"},{"key":"10.1016\/j.eswa.2026.132001_bib0006","series-title":"International conference on knowledge science, engineering and management","first-page":"134","article-title":"Mmea: entity alignment for multi-modal knowledge graph","author":"Chen","year":"2020"},{"key":"10.1016\/j.eswa.2026.132001_bib0007","series-title":"Proceedings of the 37th international conference on machine learning","article-title":"A simple framework for contrastive learning of visual representations","author":"Chen","year":"2020"},{"key":"10.1016\/j.eswa.2026.132001_bib0008","series-title":"ICDE","first-page":"3453","article-title":"Tele-knowledge pre-training for fault analysis","author":"Chen","year":"2023"},{"key":"10.1016\/j.eswa.2026.132001_bib0009","doi-asserted-by":"crossref","unstructured":"Chen, Z., Zhang, Y., Fang, Y., Geng, Y., Guo, L., Chen, X., Li, Q., Zhang, W., Chen, J., Zhu, Y., Li, J., Liu, X., Pan, J. Z., Zhang, N., & Chen, H.-z. (2024). Knowledge graphs meet multi-modal learning: A comprehensive survey. https:\/\/api.semanticscholar.org\/CorpusID:267547866, arXiv: 2402.05391.","DOI":"10.2139\/ssrn.5044404"},{"key":"10.1016\/j.eswa.2026.132001_bib0010","series-title":"Proceedings of the 37th international conference on machine learning","article-title":"Club: a contrastive log-ratio upper bound of mutual information","author":"Cheng","year":"2020"},{"key":"10.1016\/j.eswa.2026.132001_bib0011","series-title":"Proceedings of the 2019 conference of the north American chapter of the association for computational linguistics: Human language technologies, volume 1 (long and short papers)","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2019"},{"key":"10.1016\/j.eswa.2026.132001_bib0012","series-title":"Advances in neural information processing systems","first-page":"9612","article-title":"Uknow: a unified knowledge protocol with multimodal knowledge graph datasets for reasoning and vision-language pre-training","volume":"vol. 37","author":"Gong","year":"2024"},{"key":"10.1016\/j.eswa.2026.132001_bib0013","series-title":"Forty-first international conference on machine learning","article-title":"DS-Agent: automated data science by empowering large language models with case-based reasoning","author":"Guo","year":"2024"},{"key":"10.1016\/j.eswa.2026.132001_bib0014","series-title":"2020\u202fIEEE\/CVF conference on computer vision and pattern recognition (CVPR)","first-page":"9726","article-title":"Momentum contrast for unsupervised visual representation learning","author":"He","year":"2020"},{"key":"10.1016\/j.eswa.2026.132001_bib0015","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition (CVPR)","first-page":"15301","article-title":"Multi-agent collaborative perception via motion-aware robust communication network","author":"Hong","year":"2024"},{"issue":"14","key":"10.1016\/j.eswa.2026.132001_bib0016","doi-asserted-by":"crossref","first-page":"15005","DOI":"10.1609\/aaai.v39i14.33645","article-title":"Apkgc: noise-enhanced multi-modal knowledge graph completion with attention penalty","volume":"39","author":"Jian","year":"2025","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"issue":"8","key":"10.1016\/j.eswa.2026.132001_bib0017","doi-asserted-by":"crossref","DOI":"10.1145\/3760786","article-title":"Adaptive modality interaction transformer for multimodal knowledge graph completion","volume":"19","author":"Jian","year":"2025","journal-title":"ACM Transactions on Knowledge Discovery From Data"},{"key":"10.1016\/j.eswa.2026.132001_bib0018","series-title":"Proceedings of the 34th international conference on neural information processing systems","article-title":"Supervised contrastive learning","author":"Khosla","year":"2020"},{"key":"10.1016\/j.eswa.2026.132001_bib0019","series-title":"Findings of the association for computational linguistics: EMNLP 2023","first-page":"7314","article-title":"VISTA: Visual-textual knowledge graph representation learning","author":"Lee","year":"2023"},{"key":"10.1016\/j.eswa.2026.132001_bib0020","series-title":"Proceedings of the ACM web conference 2023","first-page":"2572","article-title":"Imf: interactive multimodal fusion model for link prediction","author":"Li","year":"2023"},{"key":"10.1016\/j.eswa.2026.132001_bib0021","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2024.128614","article-title":"Decoupled semantic graph neural network for knowledge graph embedding","volume":"611","author":"Li","year":"2025","journal-title":"Neurocomputing"},{"key":"10.1016\/j.eswa.2026.132001_bib0022","series-title":"The semantic web: 16th international conference, ESWC 2019, portoro\u017e, slovenia, june 2\u20136, 2019, proceedings","first-page":"459","article-title":"Mmkg: multi-modal knowledge graphs","author":"Liu","year":"2019"},{"key":"10.1016\/j.eswa.2026.132001_bib0023","series-title":"Proceedings of the seventh joint conference on lexical and computational semantics","first-page":"225","article-title":"A multimodal translation-based approach for knowledge graph representation learning","author":"Mousselly-Sergieh","year":"2018"},{"key":"10.1016\/j.eswa.2026.132001_bib0024","series-title":"Proceedings of the seventh joint conference on lexical and computational semantics","first-page":"225","article-title":"A multimodal translation-based approach for knowledge graph representation learning","author":"Mousselly-Sergieh","year":"2018"},{"key":"10.1016\/j.eswa.2026.132001_bib0025","series-title":"Proceedings of the 29th ACM international conference on information & knowledge management","first-page":"1405","article-title":"Multi-modal knowledge graphs for recommender systems","author":"Sun","year":"2020"},{"key":"10.1016\/j.eswa.2026.132001_sbref0026","series-title":"Proceedings of the 2025 international conference on machine learning (ICML 2025)","article-title":"Automl-agent: a multi-agent LLM framework for full-pipeline automl","author":"Trirat","year":"2025"},{"key":"10.1016\/j.eswa.2026.132001_bib0027","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision (ICCV)","first-page":"8710","article-title":"Core: cooperative reconstruction for multi-agent perception","author":"Wang","year":"2023"},{"key":"10.1016\/j.eswa.2026.132001_bib0028","series-title":"Proceedings of the 29th ACM international conference on multimedia","first-page":"2735","article-title":"Is visual context really helpful for knowledge graph? a representation learning perspective","author":"Wang","year":"2021"},{"key":"10.1016\/j.eswa.2026.132001_bib0029","series-title":"Proceedings of the 31st ACM international conference on multimedia","first-page":"2391","article-title":"Tiva-kg: a multimodal knowledge graph with text, image, video and audio","author":"Wang","year":"2023"},{"key":"10.1016\/j.eswa.2026.132001_bib0030","series-title":"2019 international joint conference on neural networks (IJCNN)","first-page":"1","article-title":"Multimodal data enhanced representation learning for knowledge graphs","author":"Wang","year":"2019"},{"key":"10.1016\/j.eswa.2026.132001_bib0031","series-title":"Proceedings of the twenty-sixth international joint conference on artificial intelligence, IJCAI-17","first-page":"3140","article-title":"Image-embodied knowledge representation learning","author":"Xie","year":"2017"},{"key":"10.1016\/j.eswa.2026.132001_bib0032","series-title":"Proceedings of the 30th ACM international conference on multimedia","first-page":"3857","article-title":"Relation-enhanced negative sampling for multimodal knowledge graph completion","author":"Xu","year":"2022"},{"key":"10.1016\/j.eswa.2026.132001_bib0033","series-title":"2023 international joint conference on neural networks (IJCNN)","first-page":"1","article-title":"Modality-aware negative sampling for multi-modal knowledge graph embedding","author":"Zhang","year":"2023"},{"key":"10.1016\/j.eswa.2026.132001_bib0034","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Chen, Z., Guo, L., Xu, Y., Hu, B., Liu, Z., Zhang, W., & Chen, H. (2024a). Native: Multi-modal knowledge graph completion in the wild. https:\/\/arxiv.org\/abs\/2406.17605.","DOI":"10.36227\/techrxiv.171259566.60211714\/v1"},{"key":"10.1016\/j.eswa.2026.132001_bib0035","series-title":"AAAI","first-page":"13322","article-title":"Tokenization, fusion, and augmentation: towards fine-grained multi-modal entity representation","author":"Zhang","year":"2025"},{"key":"10.1016\/j.eswa.2026.132001_bib0036","unstructured":"Zhang, Y., Chen, Z., Liang, L., Chen, H., & Zhang, W. (2024b). Unleashing the power of imbalanced modality information for multi-modal knowledge graph completion. https:\/\/arxiv.org\/abs\/2402.15444."}],"container-title":["Expert Systems with Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417426009140?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417426009140?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T12:38:20Z","timestamp":1776083900000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0957417426009140"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":36,"alternative-id":["S0957417426009140"],"URL":"https:\/\/doi.org\/10.1016\/j.eswa.2026.132001","relation":{},"ISSN":["0957-4174"],"issn-type":[{"value":"0957-4174","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Dynamic cognitive cycle-driven multimodal agent for knowledge graph completion","name":"articletitle","label":"Article Title"},{"value":"Expert Systems with Applications","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.eswa.2026.132001","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"132001"}}