{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,6]],"date-time":"2025-10-06T19:20:21Z","timestamp":1759778421625,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":40,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,9,14]],"date-time":"2023-09-14T00:00:00Z","timestamp":1694649600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["Nos. 62176014, 62276015, 62206266"],"award-info":[{"award-number":["Nos. 62176014, 62276015, 62206266"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["No. 2021ZD0113602"],"award-info":[{"award-number":["No. 2021ZD0113602"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,9,14]]},"DOI":"10.1145\/3604915.3608787","type":"proceedings-article","created":{"date-parts":[[2023,9,14]],"date-time":"2023-09-14T22:40:23Z","timestamp":1694731223000},"page":"565-575","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4016-5048","authenticated-orcid":false,"given":"Meng","family":"Yuan","sequence":"first","affiliation":[{"name":"Institute of Artificial Intelligence, Beihang University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9170-7009","authenticated-orcid":false,"given":"Fuzhen","family":"Zhuang","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence, Beihang University, China and Zhongguancun Laboratory, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6680-160X","authenticated-orcid":false,"given":"Zhao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6441-4390","authenticated-orcid":false,"given":"Deqing","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Beihang University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5209-6268","authenticated-orcid":false,"given":"Jin","family":"Dong","sequence":"additional","affiliation":[{"name":"Beijing Academy of Blockchain and Edge Computing, China"}]}],"member":"320","published-online":{"date-parts":[[2023,9,14]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"International Conference on Machine Learning. PMLR, 486\u2013496","author":"Bachmann Gregor","year":"2020","unstructured":"Gregor Bachmann, Gary B\u00e9cigneul, and Octavian Ganea. 2020. Constant curvature graph convolutional networks. In International Conference on Machine Learning. PMLR, 486\u2013496."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2807452"},{"key":"e_1_3_2_1_3_1","volume-title":"Hyperbolic graph convolutional neural networks. Advances in neural information processing systems 32","author":"Chami Ines","year":"2019","unstructured":"Ines Chami, Zhitao Ying, Christopher R\u00e9, and Jure Leskovec. 2019. Hyperbolic graph convolutional neural networks. Advances in neural information processing systems 32 (2019)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5330"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498419"},{"key":"e_1_3_2_1_6_1","volume-title":"ANTHEM: Attentive hyperbolic entity model for product search.","author":"Choudhary Nurendra","year":"2022","unstructured":"Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, and Chandan\u00a0K Reddy. 2022. ANTHEM: Attentive hyperbolic entity model for product search. (2022)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00726"},{"key":"e_1_3_2_1_8_1","volume-title":"Learning graph embeddings on constant-curvature manifolds for change detection in graph streams. stat 1050","author":"Grattarola Daniele","year":"2018","unstructured":"Daniele Grattarola, Daniele Zambon, Cesare Alippi, and Lorenzo Livi. 2018. Learning graph embeddings on constant-curvature manifolds for change detection in graph streams. stat 1050 (2018), 16."},{"key":"e_1_3_2_1_9_1","volume-title":"International Conference on Learning Representations.","author":"Gu Albert","year":"2018","unstructured":"Albert Gu, Frederic Sala, Beliz Gunel, and Christopher R\u00e9. 2018. Learning mixed-curvature representations in product spaces. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_10_1","volume-title":"International Conference on Learning Representations.","author":"Gu Albert","year":"2019","unstructured":"Albert Gu, Frederic Sala, Beliz Gunel, and Christopher R\u00e9. 2019. Learning mixed-curvature representations in product spaces. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00010"},{"key":"e_1_3_2_1_12_1","volume-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems. 1025\u20131035","author":"Hamilton L","year":"2017","unstructured":"William\u00a0L Hamilton, Rex Ying, and Jure Leskovec. 2017. Inductive representation learning on large graphs. In Proceedings of the 31st International Conference on Neural Information Processing Systems. 1025\u20131035."},{"key":"e_1_3_2_1_13_1","volume-title":"Dyernie: Dynamic evolution of riemannian manifold embeddings for temporal knowledge graph completion. arXiv preprint arXiv:2011.03984","author":"Han Zhen","year":"2020","unstructured":"Zhen Han, Yunpu Ma, Peng Chen, and Volker Tresp. 2020. Dyernie: Dynamic evolution of riemannian manifold embeddings for temporal knowledge graph completion. arXiv preprint arXiv:2011.03984 (2020)."},{"key":"e_1_3_2_1_14_1","volume-title":"Lie groups and symmetric spaces. Math. Surveys Monogr 83","author":"Helgason Sigurdur","year":"1978","unstructured":"Sigurdur Helgason. 1978. Differential geometry, Lie groups and symmetric spaces. Math. Surveys Monogr 83 (1978)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219965"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210017"},{"key":"e_1_3_2_1_17_1","unstructured":"Max Kochurov Sergey Ivanov and Eugeny Burnaev. [n. d.]. Are Hyperbolic Representations in Graphs Created Equal? ([n. d.])."},{"key":"e_1_3_2_1_18_1","volume-title":"Hyperbolic graph neural networks. Advances in Neural Information Processing Systems 32","author":"Liu Qi","year":"2019","unstructured":"Qi Liu, Maximilian Nickel, and Douwe Kiela. 2019. Hyperbolic graph neural networks. Advances in Neural Information Processing Systems 32 (2019)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463095"},{"key":"e_1_3_2_1_20_1","volume-title":"International conference on machine learning. PMLR","author":"Niepert Mathias","year":"2016","unstructured":"Mathias Niepert, Mohamed Ahmed, and Konstantin Kutzkov. 2016. Learning convolutional neural networks for graphs. In International conference on machine learning. PMLR, 2014\u20132023."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3053243"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3326937.3341257"},{"key":"e_1_3_2_1_23_1","volume-title":"International conference on machine learning. PMLR, 4460\u20134469","author":"Sala Frederic","year":"2018","unstructured":"Frederic Sala, Chris De\u00a0Sa, Albert Gu, and Christopher R\u00e9. 2018. Representation tradeoffs for hyperbolic embeddings. In International conference on machine learning. PMLR, 4460\u20134469."},{"key":"e_1_3_2_1_24_1","volume-title":"Proceedings of the 35th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol.\u00a080)","author":"Sala Frederic","year":"2018","unstructured":"Frederic Sala, Chris De\u00a0Sa, Albert Gu, and Christopher Re. 2018. Representation Tradeoffs for Hyperbolic Embeddings. In Proceedings of the 35th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol.\u00a080), Jennifer Dy and Andreas Krause (Eds.). PMLR, 4460\u20134469."},{"key":"e_1_3_2_1_25_1","volume-title":"Mixed-curvature Variational Autoencoders. In International Conference on Learning Representations.","author":"Skopek Ondrej","year":"2019","unstructured":"Ondrej Skopek, Octavian-Eugen Ganea, and Gary B\u00e9cigneul. 2019. Mixed-curvature Variational Autoencoders. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450101"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411947"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462980"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371850"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271739"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186175"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"crossref","unstructured":"Hongwei Wang Miao Zhao Xing Xie Wenjie Li and Minyi Guo. 2019. Knowledge graph convolutional networks for recommender systems. In The world wide web conference. 3307\u20133313.","DOI":"10.1145\/3308558.3313417"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450118"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330989"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331267"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450133"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539475"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939673"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"crossref","unstructured":"Yiding Zhang Chaozhuo Li Xing Xie Xiao Wang Chuan Shi Yuming Liu Hao Sun Liangjie Zhang Weiwei Deng and Qi Zhang. 2022. Geometric Disentangled Collaborative Filtering. (2022).","DOI":"10.1145\/3477495.3531982"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531982"}],"event":{"name":"RecSys '23: Seventeenth ACM Conference on Recommender Systems","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGAI ACM Special Interest Group on Artificial Intelligence","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval","SIGCHI ACM Special Interest Group on Computer-Human Interaction","SIGecom Special Interest Group on Economics and Computation"],"location":"Singapore Singapore","acronym":"RecSys '23"},"container-title":["Proceedings of the 17th ACM Conference on Recommender Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3604915.3608787","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3604915.3608787","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:46:06Z","timestamp":1750178766000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3604915.3608787"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,14]]},"references-count":40,"alternative-id":["10.1145\/3604915.3608787","10.1145\/3604915"],"URL":"https:\/\/doi.org\/10.1145\/3604915.3608787","relation":{},"subject":[],"published":{"date-parts":[[2023,9,14]]},"assertion":[{"value":"2023-09-14","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}