{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T04:07:06Z","timestamp":1778818026548,"version":"3.51.4"},"reference-count":50,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100010616","name":"Qiqihar University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100010616","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Applied Soft Computing"],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1016\/j.asoc.2026.115040","type":"journal-article","created":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T16:14:56Z","timestamp":1773504896000},"page":"115040","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["DAGF: A dual GCN and auxiliary graph fusion based model for aspect-based sentiment analysis"],"prefix":"10.1016","volume":"195","author":[{"given":"Jie","family":"Ji","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenlong","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengle","family":"Hou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiaoyan","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"YuKun","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youruo","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.asoc.2026.115040_bib0005","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1007\/978-3-319-55394-8_3","article-title":"Reflections on sentiment\/opinion analysis","author":"Li","year":"2017","journal-title":"Pract. Guide sentim. Anal."},{"key":"10.1016\/j.asoc.2026.115040_bib0010","series-title":"Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","first-page":"1480","article-title":"Hierarchical attention networks for document classification","author":"Yang","year":"2016"},{"key":"10.1016\/j.asoc.2026.115040_bib0015","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2021.107136","article-title":"Positionless aspect based sentiment analysis using attention mechanism","volume":"226","author":"Yadav","year":"2021","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.asoc.2026.115040_bib0020","series-title":"Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing","first-page":"606","article-title":"Attention-based LSTM for aspect-level sentiment classification","author":"Wang","year":"2016"},{"issue":"7","key":"10.1016\/j.asoc.2026.115040_bib0025","doi-asserted-by":"crossref","first-page":"4287","DOI":"10.1007\/s10489-020-02069-5","article-title":"Memory network with hierarchical multi-head attention for aspect-based sentiment analysis","volume":"51","author":"Chen","year":"2021","journal-title":"Appl. Intell."},{"key":"10.1016\/j.asoc.2026.115040_bib0030","series-title":"Proceedings of the 27th International Conference on Computational Linguistics","first-page":"774","article-title":"A position-aware bidirectional attention network for aspect-level sentiment analysis","author":"Gu","year":"2018"},{"key":"10.1016\/j.asoc.2026.115040_bib0035","author":"Zhang"},{"key":"10.1016\/j.asoc.2026.115040_bib0040","series-title":"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics","first-page":"6578","article-title":"Dependency graph enhanced dual-transformer structure for aspect-based sentiment classification","author":"Tang","year":"2020"},{"key":"10.1016\/j.asoc.2026.115040_bib0045","series-title":"Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","first-page":"322","article-title":"AMR-based network for aspect-based sentiment analysis","author":"Ma","year":"2023"},{"key":"10.1016\/j.asoc.2026.115040_bib0050","series-title":"Proceedings of the 17th International Conference on World Wide Web","first-page":"111","article-title":"Modeling online reviews with multi-grain topic models","author":"Titov","year":"2008"},{"key":"10.1016\/j.asoc.2026.115040_bib0055","series-title":"Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies","first-page":"151","article-title":"Target-dependent Twitter sentiment classification","author":"Jiang","year":"2011"},{"key":"10.1016\/j.asoc.2026.115040_bib0060","series-title":"Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)","first-page":"437","article-title":"Nrc-Canada-2014: detecting aspects and sentiment in customer reviews","author":"Kiritchenko","year":"2014"},{"key":"10.1016\/j.asoc.2026.115040_bib0065","author":"Ma"},{"key":"10.1016\/j.asoc.2026.115040_bib0070","series-title":"Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing","first-page":"3433","article-title":"Multi-grained attention network for aspect-level sentiment classification","author":"Fan","year":"2018"},{"key":"10.1016\/j.asoc.2026.115040_bib0075","series-title":"Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing","first-page":"452","article-title":"Recurrent attention network on memory for aspect sentiment analysis","author":"Chen","year":"2017"},{"key":"10.1016\/j.asoc.2026.115040_bib0080","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.asoc.2026.115040_bib0085","author":"Xu"},{"key":"10.1016\/j.asoc.2026.115040_bib0090","series-title":"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","first-page":"5679","article-title":"Aspect-level sentiment analysis via convolution over dependency tree","author":"Sun","year":"2019"},{"key":"10.1016\/j.asoc.2026.115040_bib0095","series-title":"Proceedings of the 28th International Conference on Computational Linguistics","first-page":"150","article-title":"Jointly learning aspect-focused and inter-aspect relations with graph convolutional networks for aspect sentiment analysis","author":"Liang","year":"2020"},{"key":"10.1016\/j.asoc.2026.115040_bib0100","series-title":"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)","first-page":"3540","article-title":"Convolution over hierarchical syntactic and lexical graphs for aspect level sentiment analysis","author":"Zhang","year":"2020"},{"key":"10.1016\/j.asoc.2026.115040_bib0105","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2021.107643","article-title":"Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks","volume":"235","author":"Liang","year":"2022","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.asoc.2026.115040_bib0110","series-title":"Findings of the Association for Computational Linguistics: ACL 2022","article-title":"Incorporating dynamic semantics into pre-trained language model for aspect-based sentiment analysis","author":"Zhang","year":"2022"},{"key":"10.1016\/j.asoc.2026.115040_bib0115","series-title":"Natural Language Processing and Chinese Computing: 10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13\u201317, 2021, Proceedings, Part I 10","first-page":"531","article-title":"Semantic enhanced dual-channel graph communication network for aspect-based sentiment analysis","author":"Yan","year":"2021"},{"key":"10.1016\/j.asoc.2026.115040_bib0120","series-title":"Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","first-page":"2974","article-title":"Enhanced multi-channel graph convolutional network for aspect sentiment triplet extraction","author":"Chen","year":"2022"},{"issue":"8","key":"10.1016\/j.asoc.2026.115040_bib0125","doi-asserted-by":"crossref","first-page":"5085","DOI":"10.3390\/app13085085","article-title":"Ssemgat: syntactic and semantic enhanced multi-layer graph attention network for aspect-level sentiment analysis","volume":"13","author":"Xin","year":"2023","journal-title":"Appl. Sci."},{"issue":"6","key":"10.1016\/j.asoc.2026.115040_bib0130","first-page":"1","article-title":"An adaptive dual graph convolution fusion network for aspect-based sentiment analysis","volume":"23","author":"Wang","year":"2024","journal-title":"ACM Trans. Asian Low-Resour. Lang. Inf. Process."},{"issue":"22","key":"10.1016\/j.asoc.2026.115040_bib0135","doi-asserted-by":"crossref","first-page":"4273","DOI":"10.3390\/math10224273","article-title":"Knowledge-enhanced dual-channel GCN for aspect-based sentiment analysis","volume":"10","author":"Zhang","year":"2022","journal-title":"Mathematics"},{"key":"10.1016\/j.asoc.2026.115040_bib0140","author":"Liu"},{"key":"10.1016\/j.asoc.2026.115040_bib0145","author":"Mrini"},{"key":"10.1016\/j.asoc.2026.115040_bib0150","series-title":"Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","first-page":"168","article-title":"Mining and summarizing customer reviews","author":"Hu","year":"2004"},{"issue":"I","key":"10.1016\/j.asoc.2026.115040_bib0155","article-title":"Attention is all you need","volume":"30","author":"Ashish","year":"2017","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.asoc.2026.115040_bib0160","series-title":"Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse","first-page":"178","article-title":"Abstract meaning representation for sembanking","author":"Banarescu","year":"2013"},{"key":"10.1016\/j.asoc.2026.115040_bib0165","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"12564","article-title":"One spring to rule them both: symmetric AMR semantic parsing and generation without a complex pipeline","volume":"vol. 35","author":"Bevilacqua","year":"2021"},{"key":"10.1016\/j.asoc.2026.115040_bib0170","series-title":"Findings of the Association for Computational Linguistics: NAACL 2024","first-page":"1863","article-title":"DAGCN: distance-based and aspect-oriented graph convolutional network for aspect-based sentiment analysis","author":"Wang","year":"2024"},{"key":"10.1016\/j.asoc.2026.115040_bib0175","series-title":"Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","first-page":"49","article-title":"Adaptive recursive neural network for target-dependent Twitter sentiment classification","author":"Dong","year":"2014"},{"key":"10.1016\/j.asoc.2026.115040_bib0180","series-title":"International Workshop on Semantic Evaluation","first-page":"19","article-title":"Semeval-2016 task 5: aspect based sentiment analysis","author":"Pontiki","year":"2016"},{"key":"10.1016\/j.asoc.2026.115040_bib0185","author":"Tang"},{"key":"10.1016\/j.asoc.2026.115040_bib0190","author":"Tang"},{"key":"10.1016\/j.asoc.2026.115040_bib0195","series-title":"Proceedings of the 2018 World Wide Web Conference","first-page":"1023","article-title":"Content attention model for aspect based sentiment analysis","author":"Liu","year":"2018"},{"key":"10.1016\/j.asoc.2026.115040_bib0200","series-title":"Social, Cultural, and Behavioral Modeling: 11th International Conference, SBP-BRiMS 2018, Washington, DC, USA, July 10\u201313, 2018, Proceedings 11","first-page":"197","article-title":"Aspect level sentiment classification with attention-over-attention neural networks","author":"Huang","year":"2018"},{"key":"10.1016\/j.asoc.2026.115040_bib0205","author":"Song"},{"issue":"16","key":"10.1016\/j.asoc.2026.115040_bib0210","doi-asserted-by":"crossref","first-page":"3389","DOI":"10.3390\/app9163389","article-title":"Lcf: a local context focus mechanism for aspect-based sentiment classification","volume":"9","author":"Zeng","year":"2019","journal-title":"Appl. Sci."},{"key":"10.1016\/j.asoc.2026.115040_bib0215","author":"Wang"},{"key":"10.1016\/j.asoc.2026.115040_bib0220","series-title":"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)","first-page":"6319","article-title":"Dual graph convolutional networks for aspect-based sentiment analysis","author":"Li","year":"2021"},{"key":"10.1016\/j.asoc.2026.115040_bib0225","series-title":"Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","first-page":"4916","article-title":"Ssegcn: syntactic and semantic enhanced graph convolutional network for aspect-based sentiment analysis","author":"Zhang","year":"2022"},{"issue":"19","key":"10.1016\/j.asoc.2026.115040_bib0230","doi-asserted-by":"crossref","first-page":"4126","DOI":"10.3390\/electronics12194126","article-title":"Phnn: a prompt and hybrid neural network-based model for aspect-based sentiment classification","volume":"12","author":"Zhu","year":"2023","journal-title":"Electronics"},{"key":"10.1016\/j.asoc.2026.115040_bib0235","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"19715","article-title":"You only read once: constituency-oriented relational graph convolutional network for multi-aspect multi-sentiment classification","volume":"vol. 38","author":"Zheng","year":"2024"},{"key":"10.1016\/j.asoc.2026.115040_bib0240","series-title":"Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","first-page":"13366","article-title":"S2GSL: incorporating segment to syntactic enhanced graph structure learning for aspect-based sentiment analysis","author":"Chen","year":"2024"},{"key":"10.1016\/j.asoc.2026.115040_bib0245","series-title":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","first-page":"2623","article-title":"Optuna: a next-generation hyperparameter optimization framework","author":"Akiba","year":"2019"},{"key":"10.1016\/j.asoc.2026.115040_bib0250","series-title":"Advances in Neural Information Processing Systems","first-page":"2546","article-title":"Algorithms for hyper-parameter optimization","volume":"vol. 24","author":"Bergstra","year":"2011"}],"container-title":["Applied Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568494626004886?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568494626004886?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T03:08:47Z","timestamp":1778814527000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1568494626004886"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":50,"alternative-id":["S1568494626004886"],"URL":"https:\/\/doi.org\/10.1016\/j.asoc.2026.115040","relation":{},"ISSN":["1568-4946"],"issn-type":[{"value":"1568-4946","type":"print"}],"subject":[],"published":{"date-parts":[[2026,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"DAGF: A dual GCN and auxiliary graph fusion based model for aspect-based sentiment analysis","name":"articletitle","label":"Article Title"},{"value":"Applied Soft Computing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.asoc.2026.115040","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":"115040"}}