{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T21:21:51Z","timestamp":1782854511929,"version":"3.54.5"},"reference-count":42,"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":["62572174"],"award-info":[{"award-number":["62572174"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006407","name":"Henan Province Natural Science Foundation","doi-asserted-by":"publisher","award":["262300421054"],"award-info":[{"award-number":["262300421054"]}],"id":[{"id":"10.13039\/501100006407","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.2026.134356","type":"journal-article","created":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T16:24:36Z","timestamp":1782318276000},"page":"134356","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Granularity-aware graph attention network for knowledge graph completion"],"prefix":"10.1016","volume":"698","author":[{"given":"Wenfeng","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jialin","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8677-516X","authenticated-orcid":false,"given":"Yuanyuan","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"5","key":"10.1016\/j.neucom.2026.134356_bib0005","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1145\/3191513","article-title":"Never-ending learning","volume":"61","author":"Mitchell","year":"2018","journal-title":"Commun. ACM"},{"key":"10.1016\/j.neucom.2026.134356_bib0010","series-title":"Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data","first-page":"1247","article-title":"Freebase: a collaboratively created graph database for structuring human knowledge","author":"Bollacker","year":"2008"},{"issue":"4","key":"10.1016\/j.neucom.2026.134356_bib0015","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2023.103369","article-title":"Towards travel recommendation interpretability: disentangling tourist decision-making process via knowledge graph","volume":"60","author":"Gao","year":"2023","journal-title":"Inf. Process. Manag."},{"key":"10.1016\/j.neucom.2026.134356_bib0020","doi-asserted-by":"crossref","first-page":"745","DOI":"10.1016\/j.ins.2022.11.042","article-title":"Incorporating anticipation embedding into reinforcement learning framework for multi-hop knowledge graph question answering","volume":"619","author":"Cui","year":"2023","journal-title":"Inf. Sci."},{"key":"10.1016\/j.neucom.2026.134356_bib0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2026.131319","article-title":"DRKT: Learning differential relationships for efficient knowledge tracing with learner\u2019s knowledge internalization representation","volume":"310","author":"Zhang","year":"2026","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.neucom.2026.134356_bib0030","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2026.131319","article-title":"DRKT: learning differential relationships for efficient knowledge tracing with learner\u2019s knowledge internalization representation","volume":"310","author":"Zhang","year":"2026","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.neucom.2026.134356_bib0035","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2020.106160","article-title":"Granule description in knowledge granularity and representation","volume":"203","author":"Li","year":"2020","journal-title":"Knowl.-Based Syst."},{"issue":"1","key":"10.1016\/j.neucom.2026.134356_bib0040","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1561\/116.00000177","article-title":"Knowledge graph embedding: an overview","volume":"13","author":"Ge","year":"2024","journal-title":"APSIPA Trans. Signal Inf. Process."},{"key":"10.1016\/j.neucom.2026.134356_bib0045","article-title":"Translating embeddings for modeling multi-relational data","volume":"26","author":"Bordes","year":"2013","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.neucom.2026.134356_bib0050","series-title":"Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing","first-page":"687","article-title":"Knowledge graph embedding via dynamic mapping matrix","author":"Ji","year":"2015"},{"key":"10.1016\/j.neucom.2026.134356_bib0055","series-title":"Proceedings of the International Conference on Learning Representations","article-title":"Embedding entities and relations for learning and inference in knowledge bases","author":"Yang","year":"2015"},{"key":"10.1016\/j.neucom.2026.134356_bib0060","series-title":"International Conference on Machine Learning","first-page":"2071","article-title":"Complex embeddings for simple link prediction","author":"Trouillon","year":"2016"},{"key":"10.1016\/j.neucom.2026.134356_bib0065","first-page":"4289","article-title":"Simple embedding for link prediction in knowledge graphs","volume":"31","author":"Kazemi","year":"2018","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.neucom.2026.134356_bib0070","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","article-title":"Holographic embeddings of knowledge graphs","author":"Nickel","year":"2016"},{"key":"10.1016\/j.neucom.2026.134356_bib0075","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"1811","article-title":"Convolutional 2D knowledge graph embeddings","author":"Dettmers","year":"2018"},{"key":"10.1016\/j.neucom.2026.134356_bib0080","series-title":"Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","first-page":"327","article-title":"A novel embedding model for knowledge base completion based on convolutional neural network","author":"Nguyen","year":"2018"},{"key":"10.1016\/j.neucom.2026.134356_bib0085","series-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","first-page":"978","article-title":"Adaptive convolution for multi-relational learning","author":"Jiang","year":"2019"},{"key":"10.1016\/j.neucom.2026.134356_bib0090","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2025.113040","article-title":"MHRN: a multi-perspective hierarchical relation network for knowledge graph embedding","volume":"313","author":"Xue","year":"2025","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.neucom.2026.134356_bib0095","series-title":"European Semantic Web Conference","first-page":"593","article-title":"Modeling relational data with graph convolutional networks","author":"Schlichtkrull","year":"2018"},{"key":"10.1016\/j.neucom.2026.134356_bib0100","series-title":"International Conference on Learning Representations","article-title":"Composition-based multi-relational graph convolutional networks","author":"Vashishth","year":"2020"},{"key":"10.1016\/j.neucom.2026.134356_bib0105","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.128923","article-title":"GIRMSF-global information reconstruction and multi-scale feature sharpening framework for knowledge graph embedding","volume":"296","author":"Lin","year":"2026","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.neucom.2026.134356_bib0110","series-title":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","first-page":"4710","article-title":"Learning attention-based embeddings for relation prediction in knowledge graphs","author":"Nathani","year":"2019"},{"key":"10.1016\/j.neucom.2026.134356_bib0115","series-title":"Proceedings of the Web Conference 2020","first-page":"2704","article-title":"Heterogeneous graph transformer","author":"Hu","year":"2020"},{"key":"10.1016\/j.neucom.2026.134356_bib0120","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"},{"issue":"10","key":"10.1016\/j.neucom.2026.134356_bib0125","doi-asserted-by":"crossref","first-page":"727","DOI":"10.1007\/s10489-025-06592-1","article-title":"Linear self-attention with multi-relational graph for knowledge graph completion","volume":"55","author":"Liu","year":"2025","journal-title":"Appl. Intell."},{"key":"10.1016\/j.neucom.2026.134356_bib0130","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.125260","article-title":"Link prediction for knowledge graphs based on extended relational graph attention networks","volume":"259","author":"Cao","year":"2025","journal-title":"Expert Syst. Appl."},{"issue":"6","key":"10.1016\/j.neucom.2026.134356_bib0135","doi-asserted-by":"crossref","first-page":"1977","DOI":"10.1109\/TSMCC.2012.2236648","article-title":"Granular computing: perspectives and challenges","volume":"43","author":"Yao","year":"2013","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.neucom.2026.134356_bib0140","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1016\/j.ins.2014.12.010","article-title":"Concept learning via granular computing: a cognitive viewpoint","volume":"298","author":"Li","year":"2015","journal-title":"Inf. Sci."},{"key":"10.1016\/j.neucom.2026.134356_bib0145","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1016\/j.ins.2019.02.032","article-title":"Granule description based knowledge discovery from incomplete formal contexts via necessary attribute analysis","volume":"485","author":"Zhi","year":"2019","journal-title":"Inf. Sci."},{"issue":"2","key":"10.1016\/j.neucom.2026.134356_bib0150","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1109\/TKDE.2006.18","article-title":"A basic mathematical framework for conceptual graphs","volume":"18","author":"Nguyen","year":"2005","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"1","key":"10.1016\/j.neucom.2026.134356_bib0155","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1007\/s13042-020-01147-x","article-title":"Attribute reduction in formal decision contexts and its application to finite topological spaces","volume":"12","author":"Chen","year":"2021","journal-title":"Int. J. Mach. Learn. Cybern."},{"key":"10.1016\/j.neucom.2026.134356_bib0160","series-title":"International Conference on Formal Concept Analysis","first-page":"271","article-title":"A proposal for extending formal concept analysis to knowledge graphs","author":"Ferr\u00e9","year":"2015"},{"key":"10.1016\/j.neucom.2026.134356_bib0165","series-title":"Proceedings of the 2018 World Wide Web Conference","first-page":"1175","article-title":"Modelling dynamics in semantic web knowledge graphs with formal concept analysis","author":"Gonz\u00e1lez","year":"2018"},{"key":"10.1016\/j.neucom.2026.134356_bib0170","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.dam.2019.03.003","article-title":"Graph-FCA: an extension of formal concept analysis to knowledge graphs","volume":"273","author":"Ferr\u00e9","year":"2020","journal-title":"Discrete Appl. Math."},{"key":"10.1016\/j.neucom.2026.134356_bib0175","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2024.121698","article-title":"Granular concept-enhanced relational graph convolution networks for link prediction in knowledge graph","volume":"694","author":"Dai","year":"2025","journal-title":"Inf. Sci."},{"issue":"12","key":"10.1016\/j.neucom.2026.134356_bib0180","doi-asserted-by":"crossref","first-page":"13753","DOI":"10.1109\/TII.2024.3431640","article-title":"MMATrans: muscle movement aware representation learning for facial expression recognition via transformers","volume":"20","author":"Liu","year":"2024","journal-title":"IEEE Trans. Ind. Inform."},{"issue":"6","key":"10.1016\/j.neucom.2026.134356_bib0185","doi-asserted-by":"crossref","first-page":"8068","DOI":"10.1109\/TII.2023.3266366","article-title":"LDCNet: limb direction cues-aware network for flexible HPE in industrial behavioral biometrics systems","volume":"20","author":"Liu","year":"2024","journal-title":"IEEE Trans. Ind. Inform."},{"issue":"3","key":"10.1016\/j.neucom.2026.134356_bib0190","doi-asserted-by":"crossref","first-page":"1221","DOI":"10.1109\/TNNLS.2025.3617339","article-title":"HomLLM: exploiting semantic homology relationship for fine-grained bird image classification via large language models","volume":"37","author":"Liu","year":"2026","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10.1016\/j.neucom.2026.134356_bib0195","series-title":"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics","first-page":"2986","article-title":"How does selective mechanism improve self-attention networks?","author":"Geng","year":"2020"},{"key":"10.1016\/j.neucom.2026.134356_bib0200","series-title":"Proceedings of the 24th International Conference on Machine Learning","first-page":"433","article-title":"Statistical predicate invention","author":"Kok","year":"2007"},{"key":"10.1016\/j.neucom.2026.134356_bib0205","series-title":"Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing","first-page":"3243","article-title":"Multi-hop knowledge graph reasoning with reward shaping","author":"Lin","year":"2018"},{"key":"10.1016\/j.neucom.2026.134356_bib0210","series-title":"Proceedings of the 3rd Workshop on Continuous Vector Space Models and Their Compositionality","first-page":"57","article-title":"Observed versus latent features for knowledge base and text inference","author":"Toutanova","year":"2015"}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226017546?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226017546?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T20:23:54Z","timestamp":1782851034000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925231226017546"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":42,"alternative-id":["S0925231226017546"],"URL":"https:\/\/doi.org\/10.1016\/j.neucom.2026.134356","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":"Granularity-aware graph attention network for knowledge graph completion","name":"articletitle","label":"Article Title"},{"value":"Neurocomputing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neucom.2026.134356","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":"134356"}}