{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T01:56:33Z","timestamp":1763344593037,"version":"3.45.0"},"reference-count":26,"publisher":"Tech Science Press","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2025]]},"DOI":"10.32604\/cmc.2025.066382","type":"journal-article","created":{"date-parts":[[2025,6,12]],"date-time":"2025-06-12T02:17:48Z","timestamp":1749694668000},"page":"2331-2353","source":"Crossref","is-referenced-by-count":0,"title":["DMGNN: A Dual Multi-Relational GNN Model for Enhanced Recommendation"],"prefix":"10.32604","volume":"84","author":[{"given":"Siyue","family":"Li","sequence":"first","affiliation":[]},{"given":"Tian","family":"Jin","sequence":"additional","affiliation":[]},{"given":"Erfan","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Ranting","family":"Tao","sequence":"additional","affiliation":[]},{"given":"Jiaxin","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Kai","family":"Xi","sequence":"additional","affiliation":[]}],"member":"17807","published-online":{"date-parts":[[2025]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"e822","DOI":"10.7717\/peerj-cs.822","article-title":"Recommendation algorithm based on attributed multiplex heterogeneous network","volume":"7","author":"Yang","year":"2021","journal-title":"PeerJ Comput Sci"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3687481","article-title":"SGL++: improving self-supervised graph learning for recommendation","volume":"42","author":"Liu","year":"2024","journal-title":"ACM Trans Inf Syst"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3613964","article-title":"Heterogeneous hypergraph neural network for social recommendation using attention network","volume":"3","author":"Khan","year":"2025","journal-title":"ACM Trans Recomm Syst"},{"key":"ref4","unstructured":"Liu J, Yang C, Lu Z, Chen J, Li Y, Zhang M, et al. Towards graph foundation models: a survey and beyond. arXiv:2310.11829. 2023."},{"key":"ref5","series-title":"Proceedings of the Services\u2014SERVICES 2019 on Lecture Notes in Computer Science; 2019 Jun 25\u201330; San Diego, CA, USA","first-page":"46","article-title":"Current trends in collaborative filtering recommendation systems","author":"Amin"},{"key":"ref6","series-title":"Proceedings of the SIGIR\u201920: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval; 2020 Jul 25\u201330; New York, NY","first-page":"639","article-title":"LightGCN: simplifying and powering graph convolution network for recommendation","author":"He","year":"2020."},{"key":"ref7","series-title":"Proceedings of the SIGIR\u201919: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval; 2019 Jul 21\u201325; New York, NY","first-page":"21","article-title":"Neural graph collaborative filtering","author":"Wang","year":"2019"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3568022","article-title":"A survey of graph neural networks for recommender systems: challenges, methods, and directions","volume":"1","author":"Gao","year":"2023","journal-title":"ACM Trans Recomm Syst"},{"key":"ref9","series-title":"Proceedings of the WWW\u201919: the World Wide Web Conference; 2019 May 13\u201317; San Francisco, CA, USA","first-page":"2091","article-title":"Dual graph attention networks for deep latent representation of multifaceted social effects in recommender systems","author":"Wu"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"3853","DOI":"10.1038\/s41598-024-54376-3","article-title":"Graph neural network recommendation algorithm based on improved dual tower model","volume":"14","author":"He","year":"2024","journal-title":"Sci Rep"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"28860","DOI":"10.1109\/ACCESS.2024.3365549","article-title":"Intelligent personalized recommendation method based on optimized collaborative filtering algorithm in primary and secondary education resource system","volume":"12","author":"Xie","year":"2024","journal-title":"IEEE Access"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"112155","DOI":"10.1016\/j.isci.2025.112155","article-title":"Semantic and relation aware neural network model for bi-class multi-relational heterogeneous graphs","volume":"28","author":"Zhao","year":"2025","journal-title":"iScience"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1186\/s40649-019-0069-y","article-title":"Graph convolutional networks: a comprehensive review","volume":"6","author":"Zhang","year":"2019","journal-title":"Comput Soc Netw"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"112656","DOI":"10.1016\/j.asoc.2024.112656","article-title":"LSPI: heterogeneous graph neural network classification aggregation algorithm based on size neighbor path identification","volume":"171","author":"Zhao","year":"2025","journal-title":"Appl Soft Comput"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"111813","DOI":"10.1016\/j.knosys.2024.111813","article-title":"KGIE: knowledge graph convolutional network for recommender system with interactive embedding","volume":"295","author":"Li","year":"2024","journal-title":"Knowl-Based Syst"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"4447","DOI":"10.3390\/electronics13224447","article-title":"HGNN\u2212BRFE: heterogeneous graph neural network model based on region feature extraction","volume":"13","author":"Zhao","year":"2024","journal-title":"Electronics"},{"key":"ref17","doi-asserted-by":"crossref","unstructured":"Wang S, Hu L, Wang Y, He X, Sheng Q, Orgun M, et al. Graph learning approaches to recommender systems: a review. arXiv:2004.11718. 2020.","DOI":"10.24963\/ijcai.2021\/630"},{"key":"ref18","series-title":"Proceedings of the KDD\u201919: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining; 2019 Aug 4\u20138; Anchorage, AK, USA","first-page":"968","article-title":"Knowledge-aware graph neural networks with label smoothness regularization for recommender systems","author":"Wang","year":"2019"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"5473","DOI":"10.1109\/TNNLS.2022.3204775","article-title":"Multi-behavior graph neural networks for recommender system","volume":"35","author":"Xia","year":"2024","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref20","series-title":"Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval; 2024 Jul 14\u201318; Washington, DC, USA","first-page":"1274","article-title":"SIGformer: sign-aware graph transformer for recommendation","author":"Chen"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"122945","DOI":"10.1016\/j.eswa.2023.122945","article-title":"RA-HGNN: attribute completion of heterogeneous graph neural networks based on residual attention mechanism","volume":"243","author":"Zhao","year":"2024","journal-title":"Expert Syst Appl"},{"key":"ref22","doi-asserted-by":"crossref","unstructured":"Schlichtkrull M, Kipf TN, Bloem P, Berg RVD, Titov I, Welling M. Modeling relational data with graph convolutional networks. arXiv:1703.06103. 2017.","DOI":"10.1007\/978-3-319-93417-4_38"},{"key":"ref23","series-title":"Proceedings of the KDD\u201918: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining; 2018 Aug 19\u201323; London, UK","first-page":"974","article-title":"Graph convolutional neural networks for web-scale recommender systems","author":"Ying","year":"2018"},{"key":"ref24","unstructured":"Li X, Fu C, Zhao Z, Zheng G, Huang C, Dong J, et al. Dual-channel multiplex graph neural networks for recommendation. arXiv:2403.11624. 2024."},{"key":"ref25","series-title":"Proceedings of the Computational Science\u2014ICCS 2020 on Lecture Notes in Computer Science; 2020 Jun 3\u20135; Amsterdam, The Netherlands","first-page":"342","article-title":"Effect of dataset size on efficiency of collaborative filtering recommender systems with multi-clustering as a neighbourhood identification strategy","author":"Ku\u017celewska","year":"2020"},{"key":"ref26","unstructured":"Bengio Y, Courville A, Vincent P. Representation learning: a review and new perspectives. arXiv:1206.5538. 2012."}],"container-title":["Computers, Materials & Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/cdn.techscience.cn\/files\/cmc\/2025\/TSP_CMC-84-2\/TSP_CMC_66382\/TSP_CMC_66382.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T01:53:59Z","timestamp":1763344439000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v84n2\/62938"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":26,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2025]]},"published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2025.066382","relation":{},"ISSN":["1546-2226"],"issn-type":[{"type":"electronic","value":"1546-2226"}],"subject":[],"published":{"date-parts":[[2025]]}}}