{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T05:57:22Z","timestamp":1777874242538,"version":"3.51.4"},"reference-count":50,"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\/501100007957","name":"Chongqing Municipal Education Commission","doi-asserted-by":"publisher","award":["KJQN202200649"],"award-info":[{"award-number":["KJQN202200649"]}],"id":[{"id":"10.13039\/501100007957","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neurocomputing"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.neucom.2026.133514","type":"journal-article","created":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T15:27:16Z","timestamp":1774970836000},"page":"133514","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Context-aware multi-graph embedding for cross-domain group event recommendation"],"prefix":"10.1016","volume":"685","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5770-3397","authenticated-orcid":false,"given":"Yulu","family":"Du","sequence":"first","affiliation":[]},{"given":"Wei","family":"Song","sequence":"additional","affiliation":[]},{"given":"Jin","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Xin","family":"Tang","sequence":"additional","affiliation":[]},{"given":"Haoran","family":"Fan","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.neucom.2026.133514_bib0005","doi-asserted-by":"crossref","first-page":"734","DOI":"10.1109\/TKDE.2005.99","article-title":"Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions","volume":"17","author":"Adomavicius","year":"2005","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.neucom.2026.133514_bib0010","series-title":"2010 IEEE International Conference on Data Mining","first-page":"995","article-title":"Factorization machines","author":"Rendle","year":"2010"},{"key":"10.1016\/j.neucom.2026.133514_bib0015","series-title":"Proceedings of the 26th International Conference on World Wide Web","first-page":"173","article-title":"Neural collaborative filtering","author":"He","year":"2017"},{"key":"10.1016\/j.neucom.2026.133514_bib0020","series-title":"Proceedings of the 17th ACM Conference on Information and Knowledge Management","first-page":"931","article-title":"Sorec: social recommendation using probabilistic matrix factorization","author":"Ma","year":"2008"},{"key":"10.1016\/j.neucom.2026.133514_bib0025","series-title":"The World Wide Web Conference","first-page":"417","article-title":"Graph neural networks for social recommendation","author":"Fan","year":"2019"},{"key":"10.1016\/j.neucom.2026.133514_bib0030","series-title":"Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","first-page":"1032","article-title":"Event-based social networks: linking the online and offline social worlds","author":"Liu","year":"2012"},{"key":"10.1016\/j.neucom.2026.133514_bib0035","series-title":"Proceedings of the 9th ACM Conference on Recommender Systems","first-page":"123","article-title":"Context-aware event recommendation in event-based social networks","author":"Macedo","year":"2015"},{"key":"10.1016\/j.neucom.2026.133514_bib0040","series-title":"2018 IEEE 34th International Conference on Data Engineering (ICDE)","first-page":"929","article-title":"Joint event-partner recommendation in event-based social networks","author":"Yin","year":"2018"},{"key":"10.1016\/j.neucom.2026.133514_bib0045","series-title":"Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","first-page":"1455","article-title":"A collective Bayesian poisson factorization model for cold-start local event recommendation","author":"Zhang","year":"2015"},{"key":"10.1016\/j.neucom.2026.133514_bib0050","series-title":"2017 International Joint Conference on Neural Networks (IJCNN)","first-page":"1532","article-title":"Cpmf: a collective pairwise matrix factorization model for upcoming event recommendation","author":"Liu","year":"2017"},{"key":"10.1016\/j.neucom.2026.133514_bib0055","series-title":"IJCAI","first-page":"2464","article-title":"Cross-domain recommendation: an embedding and mapping approach","volume":"vol. 17","author":"Man","year":"2017"},{"key":"10.1016\/j.neucom.2026.133514_bib0060","series-title":"Proceedings of the 28th ACM International Conference on Information and Knowledge Management","first-page":"1533","article-title":"Dtcdr: a framework for dual-target cross-domain recommendation","author":"Zhu","year":"2019"},{"key":"10.1016\/j.neucom.2026.133514_bib0065","series-title":"The World Wide Web Conference","first-page":"491","article-title":"Cross-domain recommendation without sharing user-relevant data","author":"Gao","year":"2019"},{"key":"10.1016\/j.neucom.2026.133514_bib0070","series-title":"Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","first-page":"650","article-title":"Relational learning via collective matrix factorization","author":"Singh","year":"2008"},{"key":"10.1016\/j.neucom.2026.133514_bib0075","series-title":"Proceedings of the 27th ACM International Conference on Information and Knowledge Management","first-page":"667","article-title":"Conet: collaborative cross networks for cross-domain recommendation","author":"Hu","year":"2018"},{"key":"10.1016\/j.neucom.2026.133514_bib0080","series-title":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","first-page":"267","article-title":"Disencdr: learning disentangled representations for cross-domain recommendation","author":"Cao","year":"2022"},{"key":"10.1016\/j.neucom.2026.133514_bib0085","series-title":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","first-page":"4226","article-title":"Contrastive cross-domain recommendation in matching","author":"Xie","year":"2022"},{"key":"10.1016\/j.neucom.2026.133514_bib0090","series-title":"IJCAI","first-page":"3001","article-title":"A graphical and attentional framework for dual-target cross-domain recommendation","author":"Zhu","year":"2020"},{"key":"10.1016\/j.neucom.2026.133514_bib0095","series-title":"Proceedings of the 29th ACM International Conference on Information & Knowledge Management","first-page":"885","article-title":"Cross domain recommendation via bi-directional transfer graph collaborative filtering networks","author":"Liu","year":"2020"},{"key":"10.1016\/j.neucom.2026.133514_bib0100","first-page":"321","article-title":"Dual metric learning for effective and efficient cross-domain recommendations","volume":"35","author":"Li","year":"2021","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.neucom.2026.133514_bib0105","doi-asserted-by":"crossref","first-page":"3266","DOI":"10.1109\/TKDE.2021.3132953","article-title":"A deep dual adversarial network for cross-domain recommendation","volume":"35","author":"Zhang","year":"2023","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.neucom.2026.133514_bib0110","series-title":"Proceedings of the Fourth ACM Conference on Recommender Systems","first-page":"119","article-title":"Group recommendations with rank aggregation and collaborative filtering","author":"Baltrunas","year":"2010"},{"key":"10.1016\/j.neucom.2026.133514_bib0115","series-title":"Proceedings of the Fourth ACM Conference on Recommender Systems","first-page":"111","article-title":"Group-based recipe recommendations: analysis of data aggregation strategies","author":"Berkovsky","year":"2010"},{"key":"10.1016\/j.neucom.2026.133514_bib0120","doi-asserted-by":"crossref","first-page":"754","DOI":"10.14778\/1687627.1687713","article-title":"Group recommendation: semantics and efficiency","volume":"2","author":"Amer-Yahia","year":"2009","journal-title":"Proc. VLDB Endow."},{"key":"10.1016\/j.neucom.2026.133514_bib0125","series-title":"Proceedings of the 10th ACM Conference on Recommender Systems","first-page":"285","article-title":"Recommending new items to ephemeral groups using contextual user influence","author":"Quintarelli","year":"2016"},{"key":"10.1016\/j.neucom.2026.133514_bib0130","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1016\/j.ins.2016.01.083","article-title":"Recommending items to group of users using matrix factorization based collaborative filtering","volume":"345","author":"Ortega","year":"2016","journal-title":"Inf. Sci."},{"key":"10.1016\/j.neucom.2026.133514_bib0135","doi-asserted-by":"crossref","first-page":"961","DOI":"10.1007\/s11280-017-0493-6","article-title":"Group recommendation based on a bidirectional tensor factorization model","volume":"21","author":"Wang","year":"2018","journal-title":"World Wide Web"},{"key":"10.1016\/j.neucom.2026.133514_bib0140","series-title":"Proceedings of the 21st ACM International Conference on Information and Knowledge Management","first-page":"674","article-title":"Exploring personal impact for group recommendation","author":"Liu","year":"2012"},{"key":"10.1016\/j.neucom.2026.133514_bib0145","series-title":"Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","first-page":"163","article-title":"Com: a generative model for group recommendation","author":"Yuan","year":"2014"},{"key":"10.1016\/j.neucom.2026.133514_bib0150","doi-asserted-by":"crossref","first-page":"1290","DOI":"10.1109\/TKDE.2019.2904066","article-title":"Cvtm: a content-venue-aware topic model for group event recommendation","volume":"32","author":"Du","year":"2019","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.neucom.2026.133514_bib0155","series-title":"The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval","first-page":"645","article-title":"Attentive group recommendation","author":"Cao","year":"2018"},{"key":"10.1016\/j.neucom.2026.133514_bib0160","series-title":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","first-page":"649","article-title":"Game: learning graphical and attentive multi-view embeddings for occasional group recommendation","author":"He","year":"2020"},{"key":"10.1016\/j.neucom.2026.133514_bib0165","series-title":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","first-page":"1449","article-title":"Group-aware long-and short-term graph representation learning for sequential group recommendation","author":"Wang","year":"2020"},{"key":"10.1016\/j.neucom.2026.133514_bib0170","first-page":"1","article-title":"Hierarchical hyperedge embedding-based representation learning for group recommendation","volume":"40","author":"Guo","year":"2021","journal-title":"ACM Trans. Inf. Syst."},{"key":"10.1016\/j.neucom.2026.133514_bib0175","series-title":"2021 IEEE International Conference on Data Mining (ICDM)","first-page":"260","article-title":"Hypergraph convolutional network for group recommendation","author":"Jia","year":"2021"},{"key":"10.1016\/j.neucom.2026.133514_bib0180","series-title":"Proceedings of the 2020 International Conference on Multimedia Retrieval","first-page":"555","article-title":"Multi-graph group collaborative filtering","author":"Jiang","year":"2020"},{"key":"10.1016\/j.neucom.2026.133514_bib0185","series-title":"Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining","first-page":"69","article-title":"Self-supervised group graph collaborative filtering for group recommendation","author":"Li","year":"2023"},{"key":"10.1016\/j.neucom.2026.133514_bib0190","doi-asserted-by":"crossref","first-page":"674","DOI":"10.1109\/TKDE.2019.2893361","article-title":"Gerf: a group event recommendation framework based on learning-to-rank","volume":"32","author":"Du","year":"2020","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.neucom.2026.133514_bib0195","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2021.102797","article-title":"Group event recommendation based on graph multi-head attention network combining explicit and implicit information","volume":"59","author":"Liao","year":"2022","journal-title":"Inf. Process. Manag."},{"key":"10.1016\/j.neucom.2026.133514_bib0200","doi-asserted-by":"crossref","first-page":"3213","DOI":"10.14778\/3551793.3551864","article-title":"Migrating social event recommendation over microblogs","volume":"15","author":"Zhou","year":"2022","journal-title":"Proc. VLDB Endow."},{"key":"10.1016\/j.neucom.2026.133514_bib0205","doi-asserted-by":"crossref","first-page":"1212","DOI":"10.1109\/TSC.2022.3180163","article-title":"H3rec: higher-order heterogeneous and homogeneous interaction modeling for group recommendations of web services","volume":"16","author":"He","year":"2022","journal-title":"IEEE Trans. Serv. Comput."},{"key":"10.1016\/j.neucom.2026.133514_bib0210","author":"Vashishth"},{"key":"10.1016\/j.neucom.2026.133514_bib0215","series-title":"Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","first-page":"255","article-title":"Interact and decide: medley of sub-attention networks for effective group recommendation","author":"Vinh Tran","year":"2019"},{"key":"10.1016\/j.neucom.2026.133514_bib0220","doi-asserted-by":"crossref","first-page":"2724","DOI":"10.1109\/TKDE.2017.2754499","article-title":"Knowledge graph embedding: a survey of approaches and applications","volume":"29","author":"Wang","year":"2017","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.neucom.2026.133514_bib0225","author":"Hao"},{"key":"10.1016\/j.neucom.2026.133514_bib0230","series-title":"2022 IEEE 38th International Conference on Data Engineering (ICDE)","first-page":"1259","article-title":"Contrastive learning for sequential recommendation","author":"Xie","year":"2022"},{"key":"10.1016\/j.neucom.2026.133514_bib0235","series-title":"Proceedings of the 29th ACM International Conference on Multimedia","first-page":"5382","article-title":"Contrastive learning for cold-start recommendation","author":"Wei","year":"2021"},{"key":"10.1016\/j.neucom.2026.133514_bib0240","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1016\/j.ipm.2015.10.001","article-title":"Personalized hybrid recommendation for group of users: top-n multimedia recommender","volume":"52","author":"Ka\u0161\u0161\u00e1k","year":"2016","journal-title":"Inf. Process. Manag."},{"key":"10.1016\/j.neucom.2026.133514_bib0245","series-title":"Proceedings of the 30th ACM International Conference on Information & Knowledge Management","first-page":"2557","article-title":"Double-scale self-supervised hypergraph learning for group recommendation","author":"Zhang","year":"2021"},{"key":"10.1016\/j.neucom.2026.133514_bib0250","series-title":"Proceedings of the 13th International Conference on Web Search and Data Mining","first-page":"331","article-title":"Ddtcdr: deep dual transfer cross domain recommendation","author":"Li","year":"2020"}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226009112?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226009112?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T19:23:15Z","timestamp":1777576995000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925231226009112"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":50,"alternative-id":["S0925231226009112"],"URL":"https:\/\/doi.org\/10.1016\/j.neucom.2026.133514","relation":{},"ISSN":["0925-2312"],"issn-type":[{"value":"0925-2312","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Context-aware multi-graph embedding for cross-domain group event recommendation","name":"articletitle","label":"Article Title"},{"value":"Neurocomputing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neucom.2026.133514","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"133514"}}