{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T17:15:13Z","timestamp":1765041313675,"version":"3.37.3"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Postgraduate Scientific Research Innovation Project of Hunan Province","award":["CX20200055"],"award-info":[{"award-number":["CX20200055"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Inf Retrieval J"],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1007\/s10791-022-09412-z","type":"journal-article","created":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T19:02:32Z","timestamp":1658170952000},"page":"329-363","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Exploring latent connections in graph neural networks for session-based recommendation"],"prefix":"10.1007","volume":"25","author":[{"given":"Fei","family":"Cai","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5484-1743","authenticated-orcid":false,"given":"Zhiqiang","family":"Pan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengyu","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,7,18]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Abdollahpouri, H., Burke, R., & Mobasher, B. (2017). Controlling popularity bias in learning-to-rank recommendation. In RecSys\u201917 (pp. 42\u201346).","key":"9412_CR1","DOI":"10.1145\/3109859.3109912"},{"issue":"6","key":"9412_CR2","doi-asserted-by":"publisher","first-page":"734","DOI":"10.1109\/TKDE.2005.99","volume":"17","author":"G Adomavicius","year":"2005","unstructured":"Adomavicius, G., & Tuzhilin, A. (2005). Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering, 17(6), 734\u2013749.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"issue":"4","key":"9412_CR3","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1145\/3343117","volume":"37","author":"W Chen","year":"2019","unstructured":"Chen, W., Cai, F., Chen, H., & de Rijke, M. (2019). Joint neural collaborative filtering for recommender systems. ACM Transactions on Information Systems, 37(4), 39\u201313930.","journal-title":"ACM Transactions on Information Systems"},{"doi-asserted-by":"crossref","unstructured":"Chen, W., Cai, F., Chen, H., & de Rijke, M. (2019). A dynamic co-attention network for session-based recommendation. In CIKM\u201919 (pp. 1461\u20131470).","key":"9412_CR4","DOI":"10.1145\/3357384.3357964"},{"doi-asserted-by":"crossref","unstructured":"Gu, Y., Ding, Z., Wang, S., & Yin, D. (2020). Hierarchical user profiling for e-commerce recommender systems. In WSDM\u201920 (pp. 223\u2013231).","key":"9412_CR5","DOI":"10.1145\/3336191.3371827"},{"issue":"1","key":"9412_CR6","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1007\/s10791-016-9287-1","volume":"20","author":"J Guo","year":"2017","unstructured":"Guo, J., Zhu, X., Lan, Y., & Cheng, X. (2017). Modeling users\u2019 search sessions for high utility query recommendation. Information Retrieval Journal, 20(1), 4\u201324.","journal-title":"Information Retrieval Journal"},{"doi-asserted-by":"crossref","unstructured":"Guo, Q., Qiu, X., Liu, P., Shao, Y., Xue, X., & Zhang, Z. (2019). Star-transformer. In NAACL\u201919 (pp. 1315\u20131325).","key":"9412_CR7","DOI":"10.18653\/v1\/N19-1133"},{"unstructured":"Gupta, P., Garg, D., Malhotra, P., Vig, L., & Shroff, G. M. (2019). NISER: Normalized item and session representations with graph neural networks. arXiv preprint arXiv:1909.04276.","key":"9412_CR8"},{"doi-asserted-by":"crossref","unstructured":"He, X., Liao, L., Zhang, H., Nie, L., Hu, X., & Chua, T. (2017). Neural collaborative filtering. In WWW\u201917 (pp. 173\u2013182).","key":"9412_CR9","DOI":"10.1145\/3038912.3052569"},{"unstructured":"Hidasi, B., Karatzoglou, A., Baltrunas, L., & Tikk, D. (2016). Session-based recommendations with recurrent neural networks. In ICLR\u201916.","key":"9412_CR10"},{"doi-asserted-by":"crossref","unstructured":"Hidasi, B., & Karatzoglou, A. (2018). Recurrent neural networks with top-k gains for session-based recommendations. In CIKM\u201918 (pp. 843\u2013852).","key":"9412_CR11","DOI":"10.1145\/3269206.3271761"},{"doi-asserted-by":"crossref","unstructured":"Hu, D., Wei, L., Zhou, W., Huai, X., Fang, Z., & Hu, S. (2021). Pen4rec: Preference evolution networks for session-based recommendation. In KSEM\u201921, vol. 12815 (pp. 504\u2013516).","key":"9412_CR12","DOI":"10.1007\/978-3-030-82136-4_41"},{"doi-asserted-by":"crossref","unstructured":"Jannach, D., & Ludewig, M. (2017). When recurrent neural networks meet the neighborhood for session-based recommendation. In RecSys\u201917 (pp. 306\u2013310).","key":"9412_CR13","DOI":"10.1145\/3109859.3109872"},{"doi-asserted-by":"crossref","unstructured":"Jin, R., Chai, J. Y., & Si, L. (2004). An automatic weighting scheme for collaborative filtering. In SIGIR\u201904 (pp. 337\u2013344).","key":"9412_CR14","DOI":"10.1145\/1008992.1009051"},{"doi-asserted-by":"crossref","unstructured":"Jin, B., Gao, C., He, X., Jin, D., & Li, Y. (2020). Multi-behavior recommendation with graph convolutional networks. In SIGIR\u201920 (pp. 659\u2013668).","key":"9412_CR15","DOI":"10.1145\/3397271.3401072"},{"doi-asserted-by":"crossref","unstructured":"Kang, W., & McAuley, J. J. (2018). Self-attentive sequential recommendation. In ICDM\u201918 (pp. 197\u2013206).","key":"9412_CR16","DOI":"10.1109\/ICDM.2018.00035"},{"unstructured":"Kipf, T. N., & Welling, M. (2017). Semi-supervised classification with graph convolutional networks. In ICLR\u201917.","key":"9412_CR17"},{"doi-asserted-by":"crossref","unstructured":"Koren, Y. (2008). Factorization meets the neighborhood: A multifaceted collaborative filtering model. In KDD\u201908 (pp. 426\u2013434).","key":"9412_CR18","DOI":"10.1145\/1401890.1401944"},{"doi-asserted-by":"crossref","unstructured":"Lei, W., He, X., Miao, Y., Wu, Q., Hong, R., Kan, M., & Chua, T. (2020). Estimation-action-reflection: Towards deep interaction between conversational and recommender systems. In WSDM\u201920 (pp. 304\u2013312).","key":"9412_CR19","DOI":"10.1145\/3336191.3371769"},{"doi-asserted-by":"crossref","unstructured":"Li, J., Ren, P., Chen, Z., Ren, Z., Lian, T., & Ma, J. (2017). Neural attentive session-based recommendation. In CIKM\u201917 (pp. 1419\u20131428).","key":"9412_CR20","DOI":"10.1145\/3132847.3132926"},{"unstructured":"Li, Y., Tarlow, D., Brockschmidt, M., & Zemel, R. S. (2016). Gated graph sequence neural networks. In ICLR\u201916.","key":"9412_CR21"},{"doi-asserted-by":"crossref","unstructured":"Liu, Q., Zeng, Y., Mokhosi, R., & Zhang, H. (2018). STAMP: Short-term attention\/memory priority model for session-based recommendation. In KDD\u201918 (pp. 1831\u20131839).","key":"9412_CR22","DOI":"10.1145\/3219819.3219950"},{"doi-asserted-by":"crossref","unstructured":"Pan, Z., Cai, F., Chen, W., Chen, H., & de Rijke, M. (2020). Star graph neural networks for session-based recommendation. In CIKM\u201920 (pp. 1195\u20131204).","key":"9412_CR23","DOI":"10.1145\/3340531.3412014"},{"doi-asserted-by":"crossref","unstructured":"Pan, Z., Cai, F., Ling, Y., & de Rijke, M. (2020). Rethinking item importance in session-based recommendation. In SIGIR\u201920 (pp. 1837\u20131840).","key":"9412_CR24","DOI":"10.1145\/3397271.3401274"},{"issue":"3","key":"9412_CR25","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1145\/3382764","volume":"38","author":"R Qiu","year":"2020","unstructured":"Qiu, R., Huang, Z., Li, J., & Yin, H. (2020). Exploiting cross-session information for session-based recommendation with graph neural networks. ACM Transactions on Information Systems, 38(3), 22\u201312223.","journal-title":"ACM Transactions on Information Systems"},{"doi-asserted-by":"crossref","unstructured":"Qiu, R., Li, J., Huang, Z., & Yin, H. (2019). Rethinking the item order in session-based recommendation with graph neural networks. In CIKM\u201919 (pp. 579\u2013588).","key":"9412_CR26","DOI":"10.1145\/3357384.3358010"},{"doi-asserted-by":"crossref","unstructured":"Ren, P., Chen, Z., Li, J., Ren, Z., Ma, J., & de Rijke, M. (2019). Repeatnet: A repeat aware neural recommendation machine for session-based recommendation. In AAAI\u201919 (pp. 4806\u20134813).","key":"9412_CR27","DOI":"10.1609\/aaai.v33i01.33014806"},{"doi-asserted-by":"crossref","unstructured":"Rendle, S., Freudenthaler, C., & Schmidt-Thieme, L. (2010). Factorizing personalized markov chains for next-basket recommendation. In WWW\u201910 (pp. 811\u2013820).","key":"9412_CR28","DOI":"10.1145\/1772690.1772773"},{"issue":"6088","key":"9412_CR29","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1038\/323533a0","volume":"323","author":"DE Rumelhart","year":"1986","unstructured":"Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986). Learning representations by back-propagating errors. Nature, 323(6088), 533\u2013536.","journal-title":"Nature"},{"doi-asserted-by":"crossref","unstructured":"Sarwar, B. M., Karypis, G., Konstan, J. A., & Riedl, J. (2001). Item-based collaborative filtering recommendation algorithms. In WWW\u201901 (pp. 285\u2013295).","key":"9412_CR30","DOI":"10.1145\/371920.372071"},{"doi-asserted-by":"crossref","unstructured":"Song, W., Xiao, Z., Wang, Y., Charlin, L., Zhang, M., & Tang, J. (2019). Session-based social recommendation via dynamic graph attention networks. In WSDM\u201919 (pp. 555\u2013563).","key":"9412_CR31","DOI":"10.1145\/3289600.3290989"},{"unstructured":"Srivastava, R. K., Greff, K., & Schmidhuber, J. (2015). Highway networks. arXiv preprint arXiv:1505.00387.","key":"9412_CR32"},{"unstructured":"Sukhbaatar, S., Szlam, A., Weston, J., & Fergus, R. (2015). End-to-end memory networks. In NeurIPS\u201915 (pp. 2440\u20132448).","key":"9412_CR33"},{"doi-asserted-by":"crossref","unstructured":"Sun, K., Qian, T., Yin, H., Chen, T., Chen, Y., & Chen, L. (2019). What can history tell us?. In CIKM\u201919 (pp. 1593\u20131602).","key":"9412_CR34","DOI":"10.1145\/3357384.3358050"},{"unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., & Polosukhin, I. (2017). Attention is all you need. In NeurIPS\u201917 (pp. 5998\u20136008).","key":"9412_CR35"},{"unstructured":"Velickovic, P., Cucurull, G., Casanova, A., Romero, A., Li\u00f2, P., & Bengio, Y. (2018). Graph attention networks. In ICLR\u201918.","key":"9412_CR36"},{"unstructured":"Vinyals, O., Bengio, S., & Kudlur, M. (2016). Order matters: Sequence to sequence for sets. In ICLR\u201916.","key":"9412_CR37"},{"doi-asserted-by":"crossref","unstructured":"Wang, M., Ren, P., Mei, L., Chen, Z., Ma, J., & de Rijke, M. (2019). A collaborative session-based recommendation approach with parallel memory modules. In SIGIR\u201919 (pp. 345\u2013354).","key":"9412_CR38","DOI":"10.1145\/3331184.3331210"},{"doi-asserted-by":"crossref","unstructured":"Wang, Z., Wei, W., Cong, G., Li, X., Mao, X., & Qiu, M. (2020). Global context enhanced graph neural networks for session-based recommendation. In SIGIR\u201920 (pp. 169\u2013178).","key":"9412_CR39","DOI":"10.1145\/3397271.3401142"},{"doi-asserted-by":"crossref","unstructured":"Wang, F., Xiang, X., Cheng, J., & Yuille, A. L. (2017). Normface: L$${}_{\\text{2}}$$ hypersphere embedding for face verification. In MM\u201917 (pp. 1041\u20131049).","key":"9412_CR40","DOI":"10.1145\/3123266.3123359"},{"doi-asserted-by":"crossref","unstructured":"Wang, X., He, X., Wang, M., Feng, F., & Chua, T. (2019). Neural graph collaborative filtering. In SIGIR\u201919 (pp. 165\u2013174).","key":"9412_CR41","DOI":"10.1145\/3331184.3331267"},{"unstructured":"Weston, J., Chopra, S., & Bordes, A. (2015). Memory networks. In ICLR\u201915.","key":"9412_CR42"},{"doi-asserted-by":"crossref","unstructured":"Wu, S., Tang, Y., Zhu, Y., Wang, L., Xie, X., & Tan, T. (2019). Session-based recommendation with graph neural networks. In AAAI\u201919 (pp. 346\u2013353).","key":"9412_CR43","DOI":"10.1609\/aaai.v33i01.3301346"},{"doi-asserted-by":"crossref","unstructured":"Xu, C., Zhao, P., Liu, Y., Sheng, V. S., Xu, J., Zhuang, F., Fang, J., & Zhou, X. (2019). Graph contextualized self-attention network for session-based recommendation. In IJCAI\u201919 (pp. 3940\u20133946).","key":"9412_CR44","DOI":"10.24963\/ijcai.2019\/547"},{"unstructured":"Xu, K., Li, C., Tian, Y., Sonobe, T., Kawarabayashi, K., & Jegelka, S. (2018). Representation learning on graphs with jumping knowledge networks. In ICML\u201918 (pp. 5449\u20135458).","key":"9412_CR45"},{"doi-asserted-by":"crossref","unstructured":"Ying, H., Zhuang, F., Zhang, F., Liu, Y., Xu, G., Xie, X., Xiong, H., & Wu, J. (2018). Sequential recommender system based on hierarchical attention networks. In IJCAI\u201918 (pp. 3926\u20133932).","key":"9412_CR46","DOI":"10.24963\/ijcai.2018\/546"},{"doi-asserted-by":"crossref","unstructured":"Yu, F., Liu, Q., Wu, S., Wang, L., & Tan, T. (2016). A dynamic recurrent model for next basket recommendation. In SIGIR\u201916 (pp. 729\u2013732).","key":"9412_CR47","DOI":"10.1145\/2911451.2914683"},{"issue":"4","key":"9412_CR48","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1007\/s10791-020-09378-w","volume":"23","author":"Z Zhang","year":"2020","unstructured":"Zhang, Z., Zhang, Y., & Ren, Y. (2020). Employing neighborhood reduction for alleviating sparsity and cold start problems in user-based collaborative filtering. Information Retrieval Journal, 23(4), 449\u2013472.","journal-title":"Information Retrieval Journal"},{"unstructured":"Zhang, S., Tay, Y., Yao, L., & Sun, A. (2018). Next item recommendation with self-attention. arXiv preprint arXiv:1808.06414.","key":"9412_CR49"},{"doi-asserted-by":"crossref","unstructured":"Zhang, H., Lan, Y., Pang, L., Guo, J., & Cheng, X. (2019). Recosa: Detecting the relevant contexts with self-attention for multi-turn dialogue generation. In ACL\u201919 (pp. 3721\u20133730).","key":"9412_CR50","DOI":"10.18653\/v1\/P19-1362"}],"container-title":["Information Retrieval Journal"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10791-022-09412-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10791-022-09412-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10791-022-09412-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,2]],"date-time":"2024-01-02T14:12:48Z","timestamp":1704204768000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10791-022-09412-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":50,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2022,9]]}},"alternative-id":["9412"],"URL":"https:\/\/doi.org\/10.1007\/s10791-022-09412-z","relation":{},"ISSN":["1386-4564","1573-7659"],"issn-type":[{"type":"print","value":"1386-4564"},{"type":"electronic","value":"1573-7659"}],"subject":[],"published":{"date-parts":[[2022,7,18]]},"assertion":[{"value":"25 August 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 June 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 July 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}