{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T03:57:04Z","timestamp":1781150224965,"version":"3.54.1"},"reference-count":94,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2023YFC3306100"],"award-info":[{"award-number":["2023YFC3306100"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People's Republic of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neural Networks"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.neunet.2026.108849","type":"journal-article","created":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T17:05:01Z","timestamp":1773421501000},"page":"108849","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Relation-Centric knowledge graph generation for recommendation based on conditional diffusion model"],"prefix":"10.1016","volume":"201","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3353-0951","authenticated-orcid":false,"given":"Lei","family":"Tian","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9062-4196","authenticated-orcid":false,"given":"Nan","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7515-744X","authenticated-orcid":false,"given":"Zhong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3597-7669","authenticated-orcid":false,"given":"Wenqing","family":"Hou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-0900-9362","authenticated-orcid":false,"given":"Haiyan","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8883-7857","authenticated-orcid":false,"given":"Xin","family":"Song","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5663-211X","authenticated-orcid":false,"given":"Kai","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0950-9298","authenticated-orcid":false,"given":"Bin","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5384-6219","authenticated-orcid":false,"given":"Liqun","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.neunet.2026.108849_bib0001","article-title":"Graph convolutional matrix completion","volume":"abs\/1706.02263","author":"van den Berg","year":"2017","journal-title":"CoRR"},{"key":"10.1016\/j.neunet.2026.108849_bib0002","series-title":"The world wide web conference, WWW 2019, san francisco, ca, usa, may 13-17, 2019","first-page":"151","article-title":"Unifying knowledge graph learning and recommendation: towards a better understanding of user preferences","author":"Cao","year":"2019"},{"key":"10.1016\/j.neunet.2026.108849_bib0003","series-title":"38Th IEEE international conference on data engineering, ICDE 2022, kuala lumpur, malaysia, may 9-12, 2022","first-page":"299","article-title":"Attentive knowledge-aware graph convolutional networks with collaborative guidance for personalized recommendation","author":"Chen","year":"2022"},{"key":"10.1016\/j.neunet.2026.108849_bib0004","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2025.122292","article-title":"Rsdiff: Rational score based knowledge graph diffusion for recommendation","volume":"717","author":"Cui","year":"2025","journal-title":"Information Sciences"},{"key":"10.1016\/j.neunet.2026.108849_bib0005","unstructured":"Cui, Z., Weng, Y., Tang, X., Lyu, F., Liu, D., He, X., & Ma, C. (2024a). Comprehending knowledge graphs with large language models for recommender systems. arXiv: 2410.12229."},{"key":"10.1016\/j.neunet.2026.108849_bib0006","series-title":"Proceedings of the 48th international ACM SIGIR conference on research and development in information retrieval, SIGIR 2025, padua, italy, july 13-18, 2025","first-page":"1229","article-title":"Comprehending knowledge graphs with large language models for recommender systems","author":"Cui","year":"2025"},{"key":"10.1016\/j.neunet.2026.108849_bib0007","series-title":"Proceedings of the 33rd ACM international conference on information and knowledge management, CIKM 2024, boise, id, usa, october 21-25, 2024","first-page":"404","article-title":"Context matters: Enhancing sequential recommendation with context-aware diffusion-based contrastive learning","author":"Cui","year":"2024"},{"issue":"10","key":"10.1016\/j.neunet.2026.108849_bib0008","doi-asserted-by":"crossref","first-page":"9850","DOI":"10.1109\/TKDE.2022.3168775","article-title":"MetaKG: Meta-learning on knowledge graph for cold-start recommendation","volume":"35","author":"Du","year":"2023","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"10.1016\/j.neunet.2026.108849_bib0009","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.126133","article-title":"Graph attention-based neural collaborative filtering for item-specific recommendation system using knowledge graph","volume":"266","author":"Elahi","year":"2025","journal-title":"Expert Systems with Applications"},{"issue":"4","key":"10.1016\/j.neunet.2026.108849_bib0010","doi-asserted-by":"crossref","first-page":"83:1","DOI":"10.1145\/3641288","article-title":"Knowledge graph enhanced contextualized attention-based network for responsible user-specific recommendation","volume":"15","author":"Elahi","year":"2024","journal-title":"ACM Transactions on Intelligent Systems and Technology"},{"issue":"8","key":"10.1016\/j.neunet.2026.108849_bib0011","doi-asserted-by":"crossref","first-page":"3549","DOI":"10.1109\/TKDE.2020.3028705","article-title":"A survey on knowledge graph-based recommender systems","volume":"34","author":"Guo","year":"2022","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"10.1016\/j.neunet.2026.108849_bib0012","series-title":"Proceedings of the 43rd international ACM SIGIR conference on research and development in information retrieval, SIGIR 2020, virtual event, china, july 25-30, 2020","first-page":"639","article-title":"LightGCN: Simplifying and powering graph convolution network for recommendation","author":"He","year":"2020"},{"key":"10.1016\/j.neunet.2026.108849_bib0013","series-title":"Proceedings of the 26th international conference on world wide web, WWW 2017, perth, australia, april 3-7, 2017","first-page":"173","article-title":"Neural collaborative filtering","author":"He","year":"2017"},{"key":"10.1016\/j.neunet.2026.108849_bib0014","series-title":"Advances in neural information processing systems 33: Annual conference on neural information processing systems 2020, neurIPS 2020, december 6-12, 2020, virtual","first-page":"6","article-title":"Denoising diffusion probabilistic models","author":"Ho","year":"2020"},{"key":"10.1016\/j.neunet.2026.108849_bib0015","series-title":"Proceedings of the thirty-first international joint conference on artificial intelligence, IJCAI 2022, vienna, austria, 23-29 july 2022","first-page":"5080","article-title":"AI Facilitated isolations? the impact of recommendation-based influence diffusion in human society","author":"Hu","year":"2022"},{"key":"10.1016\/j.neunet.2026.108849_bib0016","series-title":"Proceedings of the 32nd ACM international conference on multimedia, MM 2024, melbourne, vic, australia, 28 october 2024 - 1 november 2024","first-page":"7591","article-title":"DiffMM: Multi-modal diffusion model for recommendation","author":"Jiang","year":"2024"},{"key":"10.1016\/j.neunet.2026.108849_bib0017","series-title":"Proceedings of the 17th ACM international conference on web search and data mining, WSDM 2024, merida, mexico, march 4-8, 2024","first-page":"313","article-title":"DiffKG: Knowledge graph diffusion model for recommendation","author":"Jiang","year":"2024"},{"key":"10.1016\/j.neunet.2026.108849_bib0018","series-title":"Proceedings of the ACM on web conference 2025, WWW 2025, sydney, nsw, australia, 28 april 2025- 2 may 2025","first-page":"347","article-title":"Dual graph denoising model for social recommendation","author":"Li","year":"2025"},{"key":"10.1016\/j.neunet.2026.108849_bib0019","series-title":"Aaai-25, sponsored by the association for the advancement of artificial intelligence, february 25, - march 4, 2025, philadelphia, pa, USA","first-page":"12067","article-title":"Disentangled contrastive bundle recommendation with conditional diffusion","author":"Li","year":"2025"},{"key":"10.1016\/j.neunet.2026.108849_bib0020","series-title":"Proceedings of the 47th international ACM SIGIR conference on research and development in information retrieval, SIGIR 2024, washington dc, usa, july 14-18, 2024","first-page":"2442","article-title":"Graph diffusive self-supervised learning for social recommendation","author":"Li","year":"2024"},{"issue":"9","key":"10.1016\/j.neunet.2026.108849_bib0021","doi-asserted-by":"crossref","first-page":"5407","DOI":"10.1109\/TKDE.2025.3582767","article-title":"Mask diffusion-based contrastive learning for knowledge-aware recommendation","volume":"37","author":"Li","year":"2025","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"10.1016\/j.neunet.2026.108849_bib0022","series-title":"Proceedings of the eighteenth ACM international conference on web search and data mining, WSDM 2025, hannover, germany, march 10-14, 2025","first-page":"726","article-title":"Dimerec: A unified framework for enhanced sequential recommendation via generative diffusion models","author":"Li","year":"2025"},{"issue":"3","key":"10.1016\/j.neunet.2026.108849_bib0023","doi-asserted-by":"crossref","first-page":"66:1","DOI":"10.1145\/3631116","article-title":"Diffurec: A diffusion model for sequential recommendation","volume":"42","author":"Li","year":"2024","journal-title":"ACM Transactions on Information Systems"},{"key":"10.1016\/j.neunet.2026.108849_bib0024","series-title":"Proceedings of the 33rd ACM international conference on information and knowledge management, CIKM 2024, boise, id, usa, october 21-25, 2024","first-page":"1346","article-title":"Recdiff: Diffusion model for social recommendation","author":"Li","year":"2024"},{"key":"10.1016\/j.neunet.2026.108849_bib0025","series-title":"Companion proceedings of the ACM on web conference 2024, WWW 2024, singapore, singapore, may 13-17, 2024","first-page":"161","article-title":"Discrete conditional diffusion for reranking in recommendation","author":"Lin","year":"2024"},{"key":"10.1016\/j.neunet.2026.108849_bib0026","series-title":"Proceedings of the 32nd ACM international conference on information and knowledge management, CIKM 2023, birmingham, united kingdom, october 21-25, 2023","first-page":"1576","article-title":"Diffusion augmentation for sequential recommendation","author":"Liu","year":"2023"},{"key":"10.1016\/j.neunet.2026.108849_bib0027","series-title":"The thirteenth international conference on learning representations, ICLR 2025, singapore, april 24-28, 2025","article-title":"Preference diffusion for recommendation","author":"Liu","year":"2025"},{"key":"10.1016\/j.neunet.2026.108849_bib0028","series-title":"Proceedings of the 17th ACM international conference on web search and data mining, WSDM 2024, merida, mexico, march 4-8, 2024","first-page":"462","article-title":"Knowledge graph context-enhanced diversified recommendation","author":"Liu","year":"2024"},{"key":"10.1016\/j.neunet.2026.108849_bib0029","doi-asserted-by":"crossref","unstructured":"Long, J., Ye, G., Chen, T., Wang, Y., Wang, M., & Yin, H. (2024a). Diffusion-based cloud-edge-device collaborative learning for next POI recommendations.","DOI":"10.1145\/3637528.3671743"},{"key":"10.1016\/j.neunet.2026.108849_bib0030","series-title":"Proceedings of the 30th ACM SIGKDD conference on knowledge discovery and data mining, KDD 2024, barcelona, spain, august 25-29, 2024","first-page":"2026","article-title":"Diffusion-based cloud-edge-device collaborative learning for next POI recommendations","author":"Long","year":"2024"},{"issue":"1","key":"10.1016\/j.neunet.2026.108849_bib0031","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2024.103879","article-title":"Leveraging multiple control codes for aspect-controllable related paper recommendation","volume":"62","author":"Long","year":"2025","journal-title":"Information Processing & Management"},{"key":"10.1016\/j.neunet.2026.108849_bib0032","series-title":"Proceedings of the sixteenth ACM international conference on web search and data mining, WSDM 2023, singapore, 27 february 2023 - 3 march 2023","first-page":"526","article-title":"Vrkg4rec: Virtual relational knowledge graph for recommendation","author":"Lu","year":"2023"},{"key":"10.1016\/j.neunet.2026.108849_bib0033","series-title":"Aaai-25, sponsored by the association for the advancement of artificial intelligence, february 25, - march 4, 2025, philadelphia, pa, USA","first-page":"12309","article-title":"Enhancing sequential recommendation with global diffusion","author":"Luo","year":"2025"},{"key":"10.1016\/j.neunet.2026.108849_bib0034","first-page":"8886","article-title":"Plug-in diffusion model for sequential recommendation","author":"Ma","year":"2024"},{"key":"10.1016\/j.neunet.2026.108849_bib0035","series-title":"Proceedings of the thirty-third international joint conference on artificial intelligence, IJCAI 2024, jeju, south korea, august 3-9, 2024","first-page":"2270","article-title":"SeeDRec: Sememe-based diffusion for sequential recommendation","author":"Ma","year":"2024"},{"key":"10.1016\/j.neunet.2026.108849_bib0036","series-title":"Companion proceedings of the ACM on web conference 2024, WWW 2024, singapore, singapore, may 13-17, 2024","first-page":"1733","article-title":"Multimodal conditioned diffusion model for recommendation","author":"Ma","year":"2024"},{"key":"10.1016\/j.neunet.2026.108849_bib0037","series-title":"Proceedings of the ACM on web conference 2025, WWW 2025, sydney, nsw, australia, 28 april 2025- 2 may 2025","first-page":"425","article-title":"Distinguished quantized guidance for diffusion-based sequence recommendation","author":"Mao","year":"2025"},{"key":"10.1016\/j.neunet.2026.108849_bib0038","doi-asserted-by":"crossref","unstructured":"Mao, W., Yang, Z., Wu, J., Liu, H., Yuan, Y., Wang, X., & He, X. (2025b). Addressing missing data issue for diffusion-based recommendation.","DOI":"10.1145\/3726302.3729890"},{"key":"10.1016\/j.neunet.2026.108849_bib0039","doi-asserted-by":"crossref","unstructured":"Mohbat, F., & Zaki, M. J. (2025). Kerl: Knowledge-enhanced personalized recipe recommendation using large language models.","DOI":"10.18653\/v1\/2025.acl-long.938"},{"key":"10.1016\/j.neunet.2026.108849_bib0040","series-title":"Proceedings of the 57th conference of the association for computational linguistics, ACL 2019, florence, italy, july 28- august 2, 2019, volume 1: Long papers","first-page":"4710","article-title":"Learning attention-based embeddings for relation prediction in knowledge graphs","author":"Nathani","year":"2019"},{"key":"10.1016\/j.neunet.2026.108849_bib0041","series-title":"Companion proceedings of the ACM on web conference 2024, WWW 2024, singapore, singapore, may 13-17, 2024","first-page":"1719","article-title":"Diffusion recommendation with implicit sequence influence","author":"Niu","year":"2024"},{"key":"10.1016\/j.neunet.2026.108849_bib0042","series-title":"Proceedings of the 2017 conference on empirical methods in natural language processing, EMNLP 2017, copenhagen, denmark, september 9-11, 2017","first-page":"1751","article-title":"Sparsity and noise: Where knowledge graph embeddings fall short","author":"Pujara","year":"2017"},{"issue":"2","key":"10.1016\/j.neunet.2026.108849_bib0043","doi-asserted-by":"crossref","first-page":"54:1","DOI":"10.1145\/3624475","article-title":"A diffusion model for POI recommendation","volume":"42","author":"Qin","year":"2024","journal-title":"ACM Transactions on Information Systems"},{"key":"10.1016\/j.neunet.2026.108849_bib0044","doi-asserted-by":"crossref","unstructured":"Qu, Y., & Nobuhara, H. (2025). Intent-aware diffusion with contrastive learning for sequential recommendation. arXiv: 2504.16077.","DOI":"10.1145\/3726302.3730010"},{"key":"10.1016\/j.neunet.2026.108849_bib0045","unstructured":"Rendle, S., Freudenthaler, C., Gantner, Z., & Schmidt-Thieme, L. (2012). BPR: bayesian personalized ranking from implicit feedback. arXiv: 1205.2618."},{"key":"10.1016\/j.neunet.2026.108849_bib0046","unstructured":"Ripoll, M., Reeves, N., Kurteva, A., Simperl, E., & Mero\u00f1o-Pe\u00f1uela, A. (2025). Filling in the blanks? A systematic review and theoretical conceptualisation for measuring wikidata content gaps. arXiv: 2505.16383."},{"issue":"4","key":"10.1016\/j.neunet.2026.108849_bib0047","doi-asserted-by":"crossref","first-page":"983","DOI":"10.1109\/TCBB.2022.3225234","article-title":"Knowledge graph-based convolutional network coupled with sentiment analysis towards enhanced drug recommendation","volume":"21","author":"Saadat","year":"2024","journal-title":"IEEE\/ACM Transactions on Computational Biology and Bioinformatics"},{"key":"10.1016\/j.neunet.2026.108849_bib0048","series-title":"Proceedings of the tenth international world wide web conference, WWW 10, hong kong, china, may 1-5, 2001","first-page":"285","article-title":"Item-based collaborative filtering recommendation algorithms","author":"Sarwar","year":"2001"},{"key":"10.1016\/j.neunet.2026.108849_bib0049","series-title":"Proceedings of the 32nd ACM international conference on multimedia, MM 2024, melbourne, vic, australia, 28 october 2024 - 1 november 2024","first-page":"7571","article-title":"Self-derived knowledge graph contrastive learning for recommendation","author":"Shi","year":"2024"},{"key":"10.1016\/j.neunet.2026.108849_bib0050","series-title":"9Th international conference on learning representations, ICLR 2021, virtual event, austria, may 3-7, 2021","article-title":"Denoising diffusion implicit models","author":"Song","year":"2021"},{"key":"10.1016\/j.neunet.2026.108849_bib0051","series-title":"Aaai-25, sponsored by the association for the advancement of artificial intelligence, february 25, - march 4, 2025, philadelphia, pa, USA","first-page":"12568","article-title":"Enhancing diffusion model with auxiliary information mining-exploration and efficient sampling mechanism for sequential recommendation","author":"Song","year":"2025"},{"key":"10.1016\/j.neunet.2026.108849_bib0052","series-title":"Proceedings of the ACM on web conference 2025, WWW 2025, sydney, nsw, australia, 28 april 2025- 2 may 2025","first-page":"370","article-title":"Model-agnostic social network refinement with diffusion models for robust social recommendation","author":"Sun","year":"2025"},{"key":"10.1016\/j.neunet.2026.108849_bib0053","series-title":"Proceedings of the 47th international ACM SIGIR conference on research and development in information retrieval, SIGIR 2024, washington dc, usa, july 14-18, 2024","first-page":"112","article-title":"EditKG: Editing knowledge graph for recommendation","author":"Tang","year":"2024"},{"key":"10.1016\/j.neunet.2026.108849_bib0054","series-title":"WSDM \u201921, The fourteenth ACM international conference on web search and data mining, virtual event, israel, march 8-12, 2021","first-page":"931","article-title":"Alleviating cold-start problems in recommendation through pseudo-labelling over knowledge graph","author":"Togashi","year":"2021"},{"key":"10.1016\/j.neunet.2026.108849_bib0055","series-title":"Knowledge science, engineering and management - 15th international conference, KSEM 2022, singapore, august 6-8, 2022, proceedings, part III","first-page":"593","article-title":"Recommendation via collaborative diffusion generative model","volume":"vol. 13370","author":"Walker","year":"2022"},{"key":"10.1016\/j.neunet.2026.108849_bib0056","series-title":"Proceedings of the sixteenth ACM international conference on web search and data mining, WSDM 2023, singapore, 27 february 2023 - 3 march 2023","first-page":"535","article-title":"Knowledge-adaptive contrastive learning for recommendation","author":"Wang","year":"2023"},{"key":"10.1016\/j.neunet.2026.108849_bib0057","series-title":"Proceedings of the 27th ACM international conference on information and knowledge management, CIKM 2018, torino, italy, october 22-26, 2018","first-page":"417","article-title":"Ripplenet: Propagating user preferences on the knowledge graph for recommender systems","author":"Wang","year":"2018"},{"issue":"3","key":"10.1016\/j.neunet.2026.108849_bib0058","doi-asserted-by":"crossref","first-page":"32:1","DOI":"10.1145\/3312738","article-title":"Exploring high-order user preference on the knowledge graph for recommender systems","volume":"37","author":"Wang","year":"2019","journal-title":"ACM Transactions on Information Systems"},{"key":"10.1016\/j.neunet.2026.108849_bib0059","series-title":"Proceedings of the 2018 world wide web conference on world wide web, WWW 2018, lyon, france, april 23-27, 2018","first-page":"1835","article-title":"DKN: Deep knowledge-aware network for news recommendation","author":"Wang","year":"2018"},{"key":"10.1016\/j.neunet.2026.108849_bib0060","series-title":"Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining, KDD 2019, anchorage, ak, usa, august 4-8, 2019","first-page":"968","article-title":"Knowledge-aware graph neural networks with label smoothness regularization for recommender systems","author":"Wang","year":"2019"},{"key":"10.1016\/j.neunet.2026.108849_bib0061","series-title":"The world wide web conference, WWW 2019, san francisco, ca, usa, may 13-17, 2019","first-page":"3307","article-title":"Knowledge graph convolutional networks for recommender systems","author":"Wang","year":"2019"},{"key":"10.1016\/j.neunet.2026.108849_bib0062","unstructured":"Wang, S., Fan, W., Feng, Y., Ma, X., Wang, S., & Yin, D. (2025). Knowledge graph retrieval-augmented generation for LLM-based recommendation. arXiv: 2501.02226."},{"key":"10.1016\/j.neunet.2026.108849_bib0063","series-title":"Proceedings of the ACM on web conference 2024, WWW 2024, singapore, may 13-17, 2024","first-page":"3745","article-title":"Unleashing the power of knowledge graph for recommendation via invariant learning","author":"Wang","year":"2024"},{"key":"10.1016\/j.neunet.2026.108849_bib0064","series-title":"Proceedings of the 46th international ACM SIGIR conference on research and development in information retrieval, SIGIR 2023, taipei, taiwan, july 23-27, 2023","first-page":"832","article-title":"Diffusion recommender model","author":"Wang","year":"2023"},{"key":"10.1016\/j.neunet.2026.108849_bib0065","series-title":"Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining, KDD 2019, anchorage, ak, usa, august 4-8, 2019","first-page":"950","article-title":"KGAT: Knowledge graph attention network for recommendation","author":"Wang","year":"2019"},{"key":"10.1016\/j.neunet.2026.108849_bib0066","series-title":"WWW \u201921: The web conference 2021, virtual event \/ ljubljana, slovenia, april 19-23, 2021","first-page":"878","article-title":"Learning intents behind interactions with knowledge graph for recommendation","author":"Wang","year":"2021"},{"key":"10.1016\/j.neunet.2026.108849_bib0067","first-page":"5329","article-title":"Explainable reasoning over knowledge graphs for recommendation","author":"Wang","year":"2019"},{"key":"10.1016\/j.neunet.2026.108849_bib0068","series-title":"Proceedings of the 17th ACM international conference on web search and data mining, WSDM 2024, merida, mexico, march 4-8, 2024","first-page":"779","article-title":"Diff-MSR: A diffusion model enhanced paradigm for cold-start multi-scenario recommendation","author":"Wang","year":"2024"},{"key":"10.1016\/j.neunet.2026.108849_bib0069","series-title":"Proceedings of the 17th ACM international conference on web search and data mining, WSDM 2024, merida, mexico, march 4-8, 2024","first-page":"806","article-title":"Llmrec: Large language models with graph augmentation for recommendation","author":"Wei","year":"2024"},{"key":"10.1016\/j.neunet.2026.108849_bib0070","series-title":"23Rd international world wide web conference, WWW \u201914, seoul, republic of korea, april 7-11, 2014","first-page":"515","article-title":"Knowledge base completion via search-based question answering","author":"West","year":"2014"},{"key":"10.1016\/j.neunet.2026.108849_bib0071","series-title":"Aaai-25, sponsored by the association for the advancement of artificial intelligence, february 25, - march 4, 2025, philadelphia, pa, USA","first-page":"12845","article-title":"Learning multiple user distributions for recommendation via guided conditional diffusion","author":"Wu","year":"2025"},{"key":"10.1016\/j.neunet.2026.108849_bib0072","series-title":"SIGIR \u201921: The 44th international ACM SIGIR conference on research and development in information retrieval, virtual event, canada, july 11-15, 2021","first-page":"726","article-title":"Self-supervised graph learning for recommendation","author":"Wu","year":"2021"},{"issue":"5","key":"10.1016\/j.neunet.2026.108849_bib0073","doi-asserted-by":"crossref","first-page":"97:1","DOI":"10.1145\/3535101","article-title":"Graph neural networks in recommender systems: A survey","volume":"55","author":"Wu","year":"2023","journal-title":"ACM Computing Surveys"},{"key":"10.1016\/j.neunet.2026.108849_bib0074","series-title":"Proceedings of the 31st ACM international conference on multimedia, MM 2023, ottawa, on, canada, 29 october 2023- 3 november 2023","first-page":"9329","article-title":"Diff4rec: Sequential recommendation with curriculum-scheduled diffusion augmentation","author":"Wu","year":"2023"},{"key":"10.1016\/j.neunet.2026.108849_bib0075","series-title":"Advances in neural information processing systems 38: annual conference on neural information processing systems 2024, neurIPS 2024, vancouver, BC, canada, december 10, - 15, 2024","article-title":"Breaking determinism: Fuzzy modeling of sequential recommendation using discrete state space diffusion model","author":"Xie","year":"2024"},{"key":"10.1016\/j.neunet.2026.108849_bib0076","series-title":"Proceedings of the 33rd ACM international conference on information and knowledge management, CIKM 2024, boise, id, usa, october 21-25, 2024","first-page":"2618","article-title":"Bridging user dynamics: Transforming sequential recommendations with schr\u00f6dinger bridge and diffusion models","author":"Xie","year":"2024"},{"key":"10.1016\/j.neunet.2026.108849_bib0077","series-title":"Proceedings of the 47th international ACM SIGIR conference on research and development in information retrieval, SIGIR 2024, washington dc, usa, july 14-18, 2024","first-page":"1350","article-title":"Diffusion models for generative outfit recommendation","author":"Xu","year":"2024"},{"key":"10.1016\/j.neunet.2026.108849_bib0078","unstructured":"Xuan, Y. (2024). Diffusion cross-domain recommendation. arXiv: 2402.02182."},{"issue":"6","key":"10.1016\/j.neunet.2026.108849_bib0079","doi-asserted-by":"crossref","first-page":"3312","DOI":"10.1109\/TKDE.2025.3548160","article-title":"Dual test-time training for out-of-distribution recommender system","volume":"37","author":"Yang","year":"2025","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"10.1016\/j.neunet.2026.108849_bib0080","series-title":"Proceedings of the 29th ACM SIGKDD conference on knowledge discovery and data mining, KDD 2023, long beach, ca, usa, august 6-10, 2023","first-page":"3046","article-title":"Knowledge graph self-supervised rationalization for recommendation","author":"Yang","year":"2023"},{"key":"10.1016\/j.neunet.2026.108849_bib0081","series-title":"SIGIR \u201922: The 45th international ACM SIGIR conference on research and development in information retrieval, madrid, spain, july 11, - 15, 2022","first-page":"1434","article-title":"Knowledge graph contrastive learning for recommendation","author":"Yang","year":"2022"},{"key":"10.1016\/j.neunet.2026.108849_bib0082","series-title":"Aaai-25, sponsored by the association for the advancement of artificial intelligence, february 25, - march 4, 2025, philadelphia, pa, USA","first-page":"13035","article-title":"Curriculum conditioned diffusion for multimodal recommendation","author":"Yang","year":"2025"},{"key":"10.1016\/j.neunet.2026.108849_bib0083","series-title":"Advances in neural information processing systems 36: annual conference on neural information processing systems 2023, neurIPS 2023, new orleans, LA, USA, december 10, - 16, 2023","article-title":"Generate what you prefer: Reshaping sequential recommendation via guided diffusion","author":"Yang","year":"2023"},{"key":"10.1016\/j.neunet.2026.108849_bib0084","series-title":"CIKM \u201921: The 30th ACM international conference on information and knowledge management, virtual event, queensland, australia, november 1, - 5, 2021","first-page":"4321","article-title":"Self-supervised learning for large-scale item recommendations","author":"Yao","year":"2021"},{"key":"10.1016\/j.neunet.2026.108849_bib0085","series-title":"Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining, san francisco, ca, usa, august 13-17, 2016","first-page":"353","article-title":"Collaborative knowledge base embedding for recommender systems","author":"Zhang","year":"2016"},{"key":"10.1016\/j.neunet.2026.108849_bib0086","series-title":"Proceedings of the sixteenth ACM international conference on web search and data mining, WSDM 2023, singapore, 27 february 2023 - 3 march 2023","first-page":"231","article-title":"Variational reasoning over incomplete knowledge graphs for conversational recommendation","author":"Zhang","year":"2023"},{"key":"10.1016\/j.neunet.2026.108849_bib0087","series-title":"Proceedings of the ACM on web conference 2025, WWW 2025, sydney, nsw, australia, 28 april 2025- 2 may 2025","first-page":"334","article-title":"Graph representation learning via causal diffusion for out-of-distribution recommendation","author":"Zhao","year":"2025"},{"key":"10.1016\/j.neunet.2026.108849_bib0088","series-title":"Proceedings of the ACM on web conference 2025, WWW 2025, sydney, nsw, australia, 28 april 2025- 2 may 2025","first-page":"2018","article-title":"Distributionally robust graph out-of-distribution recommendation via diffusion model","author":"Zhao","year":"2025"},{"key":"10.1016\/j.neunet.2026.108849_bib0089","series-title":"Proceedings of the 47th international ACM SIGIR conference on research and development in information retrieval, SIGIR 2024, washington dc, usa, july 14-18, 2024","first-page":"1370","article-title":"Denoising diffusion recommender model","author":"Zhao","year":"2024"},{"key":"10.1016\/j.neunet.2026.108849_bib0090","series-title":"Aaai-25, sponsored by the association for the advancement of artificial intelligence, february 25, - march 4, 2025, philadelphia, pa, USA","first-page":"13455","article-title":"Addressing cold-start problem in click-through rate prediction via supervised diffusion modeling","author":"Zhu","year":"2025"},{"key":"10.1016\/j.neunet.2026.108849_bib0091","series-title":"Proceedings of the 46th international ACM SIGIR conference on research and development in information retrieval, SIGIR 2023, taipei, taiwan, july 23-27, 2023","first-page":"362","article-title":"Knowledge-refined denoising network for robust recommendation","author":"Zhu","year":"2023"},{"key":"10.1016\/j.neunet.2026.108849_bib0092","series-title":"SIGIR \u201922: The 45th international ACM SIGIR conference on research and development in information retrieval, madrid, spain, july 11, - 15, 2022","first-page":"1358","article-title":"Multi-level cross-view contrastive learning for knowledge-aware recommender system","author":"Zou","year":"2022"},{"key":"10.1016\/j.neunet.2026.108849_bib0093","series-title":"Proceedings of the 31st ACM international conference on information & knowledge management, atlanta, ga, usa, october 17-21, 2022","first-page":"2817","article-title":"Improving knowledge-aware recommendation with multi-level interactive contrastive learning","author":"Zou","year":"2022"},{"key":"10.1016\/j.neunet.2026.108849_bib0094","series-title":"Companion proceedings of the ACM on web conference 2024, WWW 2024, singapore, singapore, may 13-17, 2024","first-page":"1","article-title":"Knowledge enhanced multi-intent transformer network for recommendation","author":"Zou","year":"2024"}],"container-title":["Neural Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0893608026003114?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0893608026003114?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T03:04:53Z","timestamp":1781147093000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0893608026003114"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":94,"alternative-id":["S0893608026003114"],"URL":"https:\/\/doi.org\/10.1016\/j.neunet.2026.108849","relation":{},"ISSN":["0893-6080"],"issn-type":[{"value":"0893-6080","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Relation-Centric knowledge graph generation for recommendation based on conditional diffusion model","name":"articletitle","label":"Article Title"},{"value":"Neural Networks","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neunet.2026.108849","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"108849"}}