{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T05:10:36Z","timestamp":1755839436240,"version":"3.40.3"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031208904"},{"type":"electronic","value":"9783031208911"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-20891-1_41","type":"book-chapter","created":{"date-parts":[[2022,11,7]],"date-time":"2022-11-07T00:03:02Z","timestamp":1667779382000},"page":"579-594","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Graph Collaborative Filtering for\u00a0Recommendation in\u00a0Complex and\u00a0Quaternion Spaces"],"prefix":"10.1007","author":[{"given":"Longcan","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daling","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shi","family":"Feng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangmin","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yifei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ge","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,11,7]]},"reference":[{"unstructured":"Bassey, J., Qian, L., Li, X.: A survey of complex-valued neural networks. arXiv preprint arXiv:2101.12249 (2021)","key":"41_CR1"},{"unstructured":"van den Berg, R., Kipf, T.N., Welling, M.: Graph convolutional matrix completion. arXiv preprint arXiv:1706.02263 (2017)","key":"41_CR2"},{"doi-asserted-by":"crossref","unstructured":"Chen, C., Wang, C., Tsai, M., Yang, Y.: Collaborative similarity embedding for recommender systems. In: Proceedings of the 28th International Conference on World Wide Web, pp. 2637\u20132643 (2019)","key":"41_CR3","DOI":"10.1145\/3308558.3313493"},{"doi-asserted-by":"crossref","unstructured":"Chen, L., Wu, L., Hong, R., Zhang, K., Wang, M.: Revisiting graph based collaborative filtering: a linear residual graph convolutional network approach. In: Proceedings of the 24th International Joint Conference on Artificial Intelligence, pp. 27\u201334 (2020)","key":"41_CR4","DOI":"10.1609\/aaai.v34i01.5330"},{"unstructured":"Dacrema, M.F., Cremonesi, P., Jannach, D.: Are we really making much progress? A worrying analysis of recent neural recommendation approaches. In: Proceedings of the 13th ACM Conference on Recommender Systems, pp. 101\u2013109 (2019)","key":"41_CR5"},{"unstructured":"Fang, Y., et al.: Quaternion-based graph convolution network for recommendation. arXiv preprint arXiv:2111.10536 (2021)","key":"41_CR6"},{"doi-asserted-by":"crossref","unstructured":"He, X., Deng, K., Wang, X., Li, Y., Zhang, Y., Wang, M.: Lightgcn: simplifying and powering graph convolution network for recommendation. In: Proceedings of the 43rd International ACM SIGIR conference on Research and Development in Information Retrieval, pp. 639\u2013648 (2020)","key":"41_CR7","DOI":"10.1145\/3397271.3401063"},{"doi-asserted-by":"crossref","unstructured":"He, X., Liao, L., Zhang, H., Nie, L., Hu, X., Chua, T.: Neural collaborative filtering. In: Proceedings of the 26th International Conference on World Wide Web, pp. 173\u2013182 (2017)","key":"41_CR8","DOI":"10.1145\/3038912.3052569"},{"unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. In: Proceedings of the 3rd International Conference on Learning Representations (2015)","key":"41_CR9"},{"unstructured":"Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks. In: Proceedings of the 5th International Conference on Learning Representations (2017)","key":"41_CR10"},{"issue":"8","key":"41_CR11","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1109\/MC.2009.263","volume":"42","author":"Y Koren","year":"2009","unstructured":"Koren, Y., Bell, R.M., Volinsky, C.: Matrix factorization techniques for recommender systems. Computer 42(8), 30\u201337 (2009)","journal-title":"Computer"},{"doi-asserted-by":"crossref","unstructured":"Li, Z., Xu, Q., Jiang, Y., Cao, X., Huang, Q.: Quaternion-based knowledge graph network for recommendation. In: Proceedings of the 28th ACM International Conference on Multimedia, pp. 880\u2013888 (2020)","key":"41_CR12","DOI":"10.1145\/3394171.3413992"},{"doi-asserted-by":"crossref","unstructured":"Nguyen, D.Q., Nguyen, T.D., Phung, D.Q.: Quaternion graph neural networks. In: Asian Conference on Machine Learning, ACML 2021, 17\u201319 November 2021, Virtual Event. Proceedings of Machine Learning Research, vol. 157, pp. 236\u2013251 (2021)","key":"41_CR13","DOI":"10.1017\/9781108924184.017"},{"issue":"4","key":"41_CR14","doi-asserted-by":"publisher","first-page":"2957","DOI":"10.1007\/s10462-019-09752-1","volume":"53","author":"T Parcollet","year":"2020","unstructured":"Parcollet, T., Morchid, M., Linar\u00e8s, G.: A survey of quaternion neural networks. Artif. Intell. Rev. 53(4), 2957\u20132982 (2020). https:\/\/doi.org\/10.1007\/s10462-019-09752-1","journal-title":"Artif. Intell. Rev."},{"unstructured":"Rendle, S., Freudenthaler, C., Gantner, Z., Schmidt-Thieme, L.: BPR: bayesian personalized ranking from implicit feedback. In: Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, pp. 452\u2013461 (2009)","key":"41_CR15"},{"doi-asserted-by":"crossref","unstructured":"Rendle, S., Krichene, W., Zhang, L., Anderson, J.R.: Neural collaborative filtering vs. matrix factorization revisited. In: Proceedings of the 14th ACM Conference on Recommender Systems, pp. 240\u2013248 (2020)","key":"41_CR16","DOI":"10.1145\/3383313.3412488"},{"doi-asserted-by":"crossref","unstructured":"Sun, Z., et al.: Are we evaluating rigorously? benchmarking recommendation for reproducible evaluation and fair comparison. In: Proceedings of the 14th ACM Conference on Recommender Systems, pp. 23\u201332 (2020)","key":"41_CR17","DOI":"10.1145\/3383313.3412489"},{"doi-asserted-by":"crossref","unstructured":"Tay, Y., et al.: Lightweight and efficient neural natural language processing with quaternion networks. In: Proceedings of the 57th Conference of the Association for Computational Linguistics, pp. 1494\u20131503 (2019)","key":"41_CR18","DOI":"10.18653\/v1\/P19-1145"},{"doi-asserted-by":"crossref","unstructured":"Tran, T., You, D., Lee, K.: Quaternion-based self-attentive long short-term user preference encoding for recommendation. In: Proceedings of the 29th ACM International Conference on Information and Knowledge Management, pp. 1455\u20131464 (2020)","key":"41_CR19","DOI":"10.1145\/3340531.3411926"},{"unstructured":"Trouillon, T., Welbl, J., Riedel, S., Gaussier, \u00c9., Bouchard, G.: Complex embeddings for simple link prediction. In: Proceedings of the 33nd International Conference on Machine Learning, pp. 2071\u20132080 (2016)","key":"41_CR20"},{"unstructured":"Wang, S., et al.: Graph learning approaches to recommender systems: a review. arXiv preprint arXiv:2004.11718 (2020)","key":"41_CR21"},{"doi-asserted-by":"crossref","unstructured":"Wang, X., He, X., Wang, M., Feng, F., Chua, T.: Neural graph collaborative filtering. In: Proceedings of the 42nd International ACM Conference on Research and Development in Information Retrieval, pp. 165\u2013174 (2019)","key":"41_CR22","DOI":"10.1145\/3331184.3331267"},{"doi-asserted-by":"crossref","unstructured":"Xue, H., Dai, X., Zhang, J., Huang, S., Chen, J.: Deep matrix factorization models for recommender systems. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence, pp. 3203\u20133209 (2017)","key":"41_CR23","DOI":"10.24963\/ijcai.2017\/447"},{"doi-asserted-by":"crossref","unstructured":"Yang, J., Chen, C., Wang, C., Tsai, M.: Hop-rec: high-order proximity for implicit recommendation. In: Proceedings of the 12th ACM Conference on Recommender Systems, pp. 140\u2013144 (2018)","key":"41_CR24","DOI":"10.1145\/3240323.3240381"},{"doi-asserted-by":"crossref","unstructured":"Yang, M., Ma, M.Q., Li, D., Tsai, Y.H., Salakhutdinov, R.: Complex transformer: a framework for modeling complex-valued sequence. In: Proceedings of the 2020 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 4232\u20134236 (2020)","key":"41_CR25","DOI":"10.1109\/ICASSP40776.2020.9054008"},{"doi-asserted-by":"crossref","unstructured":"Ying, R., He, R., Chen, K., Eksombatchai, P., Hamilton, W.L., Leskovec, J.: Graph convolutional neural networks for web-scale recommender systems. In: Proceedings of the 24th ACM International Conference on Knowledge Discovery & Data Mining, pp. 974\u2013983 (2018)","key":"41_CR26","DOI":"10.1145\/3219819.3219890"},{"unstructured":"Zhang, S., Tay, Y., Yao, L., Liu, Q.: Quaternion knowledge graph embeddings. In: Advances in Neural Information Processing Systems, pp. 2731\u20132741 (2019)","key":"41_CR27"},{"doi-asserted-by":"crossref","unstructured":"Zhang, S., Yao, L., Tran, L.V., Zhang, A., Tay, Y.: Quaternion collaborative filtering for recommendation. In: Proceedings of the 28th International Joint Conference on Artificial Intelligence, pp. 4313\u20134319 (2019)","key":"41_CR28","DOI":"10.24963\/ijcai.2019\/599"}],"container-title":["Lecture Notes in Computer Science","Web Information Systems Engineering \u2013 WISE 2022"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-20891-1_41","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,7]],"date-time":"2022-11-07T00:45:23Z","timestamp":1667781923000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-20891-1_41"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031208904","9783031208911"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-20891-1_41","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"7 November 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WISE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Web Information Systems Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Biarritz","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 October 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 November 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wise2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/wise2022.sigappfr.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"94","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"31","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"13","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"33% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.5","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The proceedings include 3 demo papers","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}