{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T16:25:38Z","timestamp":1774455938160,"version":"3.50.1"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,1,4]],"date-time":"2025-01-04T00:00:00Z","timestamp":1735948800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,4]],"date-time":"2025-01-04T00:00:00Z","timestamp":1735948800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Postgraduate Research & Practice Innovation Program of Jiangsu Province","award":["No. KYCX22_0950"],"award-info":[{"award-number":["No. KYCX22_0950"]}]},{"name":"Natural Science Research Start-up Foundation of Recruiting Talents of Nanjing University of Posts and Telecommunications","award":["No.NY223030"],"award-info":[{"award-number":["No.NY223030"]}]},{"name":"Nanjing Science and Technology Innovation Foundation for Overseas Students","award":["No.RK002NLX23004"],"award-info":[{"award-number":["No.RK002NLX23004"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimedia Systems"],"published-print":{"date-parts":[[2025,2]]},"DOI":"10.1007\/s00530-024-01644-x","type":"journal-article","created":{"date-parts":[[2025,1,4]],"date-time":"2025-01-04T06:45:30Z","timestamp":1735973130000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Adaptive discriminant feature learning for GNN-based session recommendation"],"prefix":"10.1007","volume":"31","author":[{"given":"Jiawei","family":"Ding","sequence":"first","affiliation":[]},{"given":"Zhiyi","family":"Tan","sequence":"additional","affiliation":[]},{"given":"Guanming","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Jinsheng","family":"Wei","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,1,4]]},"reference":[{"key":"1644_CR1","doi-asserted-by":"publisher","unstructured":"He, X., Liao, L., Zhang, H., Nie, L., Hu, X., Chua, T.-S.: Neural collaborative filtering. In: Proceedings of the 26th International Conference on World Wide Web. WWW \u201917, pp. 173\u2013182. International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, CHE (2017). https:\/\/doi.org\/10.1145\/3038912.3052569","DOI":"10.1145\/3038912.3052569"},{"key":"1644_CR2","doi-asserted-by":"publisher","unstructured":"Le, D.-T., Lauw, H.W., Fang, Y.: Basket-sensitive personalized item recommendation. In: Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI-17, pp. 2060\u20132066 (2017). https:\/\/doi.org\/10.24963\/ijcai.2017\/286","DOI":"10.24963\/ijcai.2017\/286"},{"key":"1644_CR3","doi-asserted-by":"publisher","unstructured":"Wang, S., Hu, L., Wang, Y., Cao, L., Sheng, Q.Z., Orgun, M.: Sequential recommender systems: Challenges, progress and prospects. In: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI-19, pp. 6332\u20136338. International Joint Conferences on Artificial Intelligence Organization, Macao, China (2019). https:\/\/doi.org\/10.24963\/ijcai.2019\/883","DOI":"10.24963\/ijcai.2019\/883"},{"key":"1644_CR4","doi-asserted-by":"publisher","unstructured":"Xi, W.-D., Huang, L., Wang, C.-D., Zheng, Y.-Y., Lai, J.: Bpam: Recommendation based on bp neural network with attention mechanism. In: Proceedings of the 28th International Joint Conference on Artificial Intelligence. IJCAI\u201919, pp. 3905\u20133911. AAAI Press, Macao, China (2019). https:\/\/doi.org\/10.24963\/ijcai.2019\/542","DOI":"10.24963\/ijcai.2019\/542"},{"key":"1644_CR5","doi-asserted-by":"publisher","unstructured":"Rendle, S., Freudenthaler, C., Schmidt-Thieme, L.: Factorizing personalized Markov chains for next-basket recommendation. In: Proceedings of the 19th International Conference on World Wide Web. WWW \u201910, pp. 811\u2013820. Association for Computing Machinery, New York, NY, USA (2010). https:\/\/doi.org\/10.1145\/1772690.1772773","DOI":"10.1145\/1772690.1772773"},{"key":"1644_CR6","unstructured":"Hidasi, B., Karatzoglou, A., Baltrunas, L., Tikk, D.: Session-based recommendations with recurrent neural networks. In: Bengio, Y., LeCun, Y. (eds.) 4th International Conference on Learning Representations, ICLR 2016, San Juan, Puerto Rico (2016). arxiv: 1511.06939"},{"key":"1644_CR7","doi-asserted-by":"publisher","unstructured":"Tan, Y.K., Xu, X., Liu, Y.: Improved recurrent neural networks for session-based recommendations. In: Proceedings of the 1st Workshop on Deep Learning for Recommender Systems. DLRS 2016, pp. 17\u201322. Association for Computing Machinery, New York, NY, USA (2016). https:\/\/doi.org\/10.1145\/2988450.2988452","DOI":"10.1145\/2988450.2988452"},{"issue":"01","key":"1644_CR8","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1609\/aaai.v33i01.3301346","volume":"33","author":"S Wu","year":"2019","unstructured":"Wu, S., Tang, Y., Zhu, Y., Wang, L., Xie, X., Tan, T.: Session-based recommendation with graph neural networks. Proc. AAAI Conf. Artif. Intell. 33(01), 346\u2013353 (2019). https:\/\/doi.org\/10.1609\/aaai.v33i01.3301346","journal-title":"Proc. AAAI Conf. Artif. Intell."},{"key":"1644_CR9","doi-asserted-by":"publisher","unstructured":"Qiu, R., Li, J., Huang, Z., Yin, H.: Rethinking the item order in session-based recommendation with graph neural networks. In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management. CIKM \u201919, pp. 579\u2013588. Association for Computing Machinery, New York, NY, USA (2019). https:\/\/doi.org\/10.1145\/3357384.3358010","DOI":"10.1145\/3357384.3358010"},{"key":"1644_CR10","doi-asserted-by":"publisher","unstructured":"Xu, C., Zhao, P., Liu, Y., Sheng, V.S., Xu, J., Zhuang, F., Fang, J., Zhou, X.: Graph contextualized self-attention network for session-based recommendation. In: Proceedings of the 28th International Joint Conference on Artificial Intelligence. IJCAI\u201919, pp. 3940\u20133946. AAAI Press, Macao, China (2019). https:\/\/doi.org\/10.24963\/ijcai.2019\/547","DOI":"10.24963\/ijcai.2019\/547"},{"issue":"3","key":"1644_CR11","doi-asserted-by":"publisher","first-page":"1458","DOI":"10.1109\/tii.2021.3091435","volume":"18","author":"Y-H Chen","year":"2022","unstructured":"Chen, Y.-H., Huang, L., Wang, C.-D., Lai, J.-H.: Hybrid-order gated graph neural network for session-based recommendation. IEEE Trans. Ind. Inform. 18(3), 1458\u20131467 (2022). https:\/\/doi.org\/10.1109\/tii.2021.3091435","journal-title":"IEEE Trans. Ind. Inform."},{"key":"1644_CR12","doi-asserted-by":"publisher","unstructured":"Pan, Z., Cai, F., Chen, W., Chen, H., Rijke, M.: Star graph neural networks for session-based recommendation. In: Proceedings of the 29th ACM International Conference on Information and Knowledge Management. ACM, New York, NY, USA (2020). https:\/\/doi.org\/10.1145\/3340531.3412014","DOI":"10.1145\/3340531.3412014"},{"key":"1644_CR13","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1609\/aaai.v33i01.330161","volume":"33","author":"Z-H Deng","year":"2019","unstructured":"Deng, Z.-H., Huang, L., Wang, C.-D., Lai, J.-H., Yu, P.S.: DeepCF: a unified framework of representation learning and matching function learning in recommender system. AAAI Conf. Arti. Intell. 33, 61\u201368 (2019). https:\/\/doi.org\/10.1609\/aaai.v33i01.330161","journal-title":"AAAI Conf. Arti. Intell."},{"issue":"8","key":"1644_CR14","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., Volinsky, C.: Matrix factorization techniques for recommender systems. Computer 42(8), 30\u201337 (2009). https:\/\/doi.org\/10.1109\/MC.2009.263","journal-title":"Computer"},{"issue":"8","key":"1644_CR15","doi-asserted-by":"publisher","first-page":"2791","DOI":"10.1109\/TNNLS.2018.2890117","volume":"31","author":"X He","year":"2020","unstructured":"He, X., Tang, J., Du, X., Hong, R., Ren, T., Chua, T.-S.: Fast matrix factorization with nonuniform weights on missing data. IEEE Trans. Neural Netw. Learn. Syst. 31(8), 2791\u20132804 (2020). https:\/\/doi.org\/10.1109\/TNNLS.2018.2890117","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"1644_CR16","doi-asserted-by":"publisher","unstructured":"Feng, S., Li, X., Zeng, Y., Cong, G., Chee, Y.M., Yuan, Q.: Personalized ranking metric embedding for next new poi recommendation. In: Proceedings of the 24th International Conference on Artificial Intelligence. IJCAI\u201915, pp. 2069\u20132075. AAAI Press, Buenos Aires, Argentina (2015). https:\/\/doi.org\/10.5555\/2832415.283253","DOI":"10.5555\/2832415.283253"},{"key":"1644_CR17","doi-asserted-by":"publisher","unstructured":"Zhang, Z., Nasraoui, O.: Efficient hybrid web recommendations based on Markov clickstream models and implicit search. In: Proceedings of the IEEE\/WIC\/ACM International Conference on Web Intelligence. WI \u201907, pp. 621\u2013627. IEEE Computer Society, USA (2007). https:\/\/doi.org\/10.1109\/WI.2007.128","DOI":"10.1109\/WI.2007.128"},{"key":"1644_CR18","doi-asserted-by":"publisher","first-page":"6101045","DOI":"10.1155\/2022\/6101045","volume":"2022","author":"M Luo","year":"2022","unstructured":"Luo, M., Zhang, X., Li, J., Duan, P., Lu, S.: User dynamic preference construction method based on behavior sequence. Sci. Program. 2022, 6101045 (2022). https:\/\/doi.org\/10.1155\/2022\/6101045","journal-title":"Sci. Program."},{"key":"1644_CR19","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/6101045","author":"I Sutskever","year":"2014","unstructured":"Sutskever, I., Vinyals, O., Le, Q.V.: Sequence to sequence learning with neural networks. Sci. Program. (2014). https:\/\/doi.org\/10.1155\/2022\/6101045","journal-title":"Sci. Program."},{"key":"1644_CR20","doi-asserted-by":"publisher","unstructured":"Mikolov, T., Sutskever, I., Chen, K., Corrado, G., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Proceedings of the 26th International Conference on Neural Information Processing Systems - Volume 2. NIPS\u201913, pp. 3111\u20133119. Curran Associates Inc., Red Hook, NY, USA (2013). https:\/\/doi.org\/10.48550\/arXiv.1310.4546","DOI":"10.48550\/arXiv.1310.4546"},{"key":"1644_CR21","doi-asserted-by":"publisher","unstructured":"Tuan, T.X., Phuong, T.M.: 3D convolutional networks for session-based recommendation with content features. In: Proceedings of the Eleventh ACM Conference on Recommender Systems. RecSys \u201917, pp. 138\u2013146. Association for Computing Machinery, New York, NY, USA (2017). https:\/\/doi.org\/10.1145\/3109859.3109900","DOI":"10.1145\/3109859.3109900"},{"key":"1644_CR22","doi-asserted-by":"publisher","unstructured":"Quadrana, M., Karatzoglou, A., Hidasi, B., Cremonesi, P.: Personalizing session-based recommendations with hierarchical recurrent neural networks. In: Proceedings of the Eleventh ACM Conference on Recommender Systems. RecSys \u201917, pp. 130\u2013137. Association for Computing Machinery, New York, NY, USA (2017). https:\/\/doi.org\/10.1145\/3109859.3109896","DOI":"10.1145\/3109859.3109896"},{"key":"1644_CR23","doi-asserted-by":"publisher","unstructured":"Liu, Q., Zeng, Y., Mokhosi, R., Zhang, H.: STAMP: short-term attention\/memory priority model for session-based recommendation. In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. KDD \u201918, pp. 1831\u20131839. Association for Computing Machinery, New York, NY, USA (2018). https:\/\/doi.org\/10.1145\/3219819.3219950","DOI":"10.1145\/3219819.3219950"},{"key":"1644_CR24","doi-asserted-by":"publisher","unstructured":"Choi, M., Kim, J., Lee, J., Shim, H., Lee, J.: Session-aware linear item-item models for session-based recommendation. In: Proceedings of the Web Conference 2021. WWW \u201921, pp. 2186\u20132197. Association for Computing Machinery, New York, NY, USA (2021). https:\/\/doi.org\/10.1145\/3442381.3450005","DOI":"10.1145\/3442381.3450005"},{"key":"1644_CR25","unstructured":"Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks. In: 5th International Conference on Learning Representations, ICLR 2017. OpenReview.net, Toulon, France (2017)"},{"key":"1644_CR26","unstructured":"Lee, J.B., Rossi, R.A., Kong, X., Kim, S., Koh, E., Rao, A.: Higher-order graph convolutional networks. CoRR arXiv: 1809.07697 (2018)"},{"issue":"01","key":"1644_CR27","doi-asserted-by":"publisher","first-page":"4602","DOI":"10.1609\/aaai.v33i01.33014602","volume":"33","author":"C Morris","year":"2018","unstructured":"Morris, C., Ritzert, M., Fey, M., Hamilton, W.L., Lenssen, J.E., Rattan, G., Grohe, M.: Weisfeiler and Leman go neural: higher-order graph neural networks. Proc. AAAI Conf. Artif. Intell. 33(01), 4602\u20134609 (2018). https:\/\/doi.org\/10.1609\/aaai.v33i01.33014602","journal-title":"Proc. AAAI Conf. Artif. Intell."},{"key":"1644_CR28","doi-asserted-by":"publisher","unstructured":"Li, Y., Tarlow, D., Brockschmidt, M., Zemel, R.S.: Gated graph sequence neural networks. In: Bengio, Y., LeCun, Y. (eds.) 4th International Conference on Learning Representations, ICLR 2016, San Juan, Puerto Rico (2016). https:\/\/doi.org\/10.48550\/arXiv.1511.05493","DOI":"10.48550\/arXiv.1511.05493"},{"key":"1644_CR29","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1162\/tacl_a_00009","volume":"6","author":"V Zayats","year":"2018","unstructured":"Zayats, V., Ostendorf, M.: Conversation modeling on reddit using a graph-structured LSTM. Trans. Assoc. Comput. Linguist. 6, 121\u2013132 (2018). https:\/\/doi.org\/10.1162\/tacl_a_00009","journal-title":"Trans. Assoc. Comput. Linguist."},{"key":"1644_CR30","doi-asserted-by":"publisher","unstructured":"Pang, Y., Wu, L., Shen, Q., Zhang, Y., Wei, Z., Xu, F., Chang, E., Long, B., Pei, J.: Heterogeneous global graph neural networks for personalized session-based recommendation. In: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining. WSDM \u201922, pp. 775\u2013783. Association for Computing Machinery, New York, NY, USA (2022). https:\/\/doi.org\/10.1145\/3488560.3498505","DOI":"10.1145\/3488560.3498505"},{"key":"1644_CR31","doi-asserted-by":"publisher","unstructured":"Li, Y., Gao, C., Du, X., Wei, H., Luo, H., Jin, D., Li, Y.: Spatiotemporal-aware session-based recommendation with graph neural networks. In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management. CIKM \u201922, pp. 1209\u20131218. Association for Computing Machinery, Atlanta, GA, USA (2022). https:\/\/doi.org\/10.1145\/3511808.3557458","DOI":"10.1145\/3511808.3557458"},{"key":"1644_CR32","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.118887","volume":"213","author":"Z Sheng","year":"2023","unstructured":"Sheng, Z., Zhang, T., Zhang, Y., Gao, S.: Enhanced graph neural network for session-based recommendation. Expert Syst. Appl. 213, 118887 (2023). https:\/\/doi.org\/10.1016\/j.eswa.2022.118887","journal-title":"Expert Syst. Appl."},{"key":"1644_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121969","author":"Q Chen","year":"2024","unstructured":"Chen, Q., Jiang, F., Guo, X., Chen, J., Sha, K., Wang, Y.: Combine temporal information in session-based recommendation with graph neural networks. Expert Syst. Appl. (2024). https:\/\/doi.org\/10.1016\/j.eswa.2023.121969","journal-title":"Expert Syst. Appl."},{"key":"1644_CR34","doi-asserted-by":"publisher","unstructured":"Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Item-based collaborative filtering recommendation algorithms. In: Proceedings of the 10th International Conference on World Wide Web. WWW \u201901, pp. 285\u2013295. Association for Computing Machinery, New York, NY, USA (2001). https:\/\/doi.org\/10.1145\/371920.372071","DOI":"10.1145\/371920.372071"},{"key":"1644_CR35","doi-asserted-by":"publisher","unstructured":"Li, J., Ren, P., Chen, Z., Ren, Z., Lian, T., Ma, J.: Neural attentive session-based recommendation. In: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management. CIKM \u201917, pp. 1419\u20131428. Association for Computing Machinery, New York, NY, USA (2017). https:\/\/doi.org\/10.1145\/3132847.3132926","DOI":"10.1145\/3132847.3132926"},{"key":"1644_CR36","doi-asserted-by":"publisher","unstructured":"Luo, A., Zhao, P., Liu, Y., Zhuang, F., Wang, D., Xu, J., Fang, J., Sheng, V.S.: Collaborative self-attention network for session-based recommendation. In: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence. IJCAI\u201920, Yokohama, Yokohama, Japan (2021). https:\/\/doi.org\/10.5555\/3491440.3491799","DOI":"10.5555\/3491440.3491799"},{"key":"1644_CR37","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.122907","author":"W Liu","year":"2024","unstructured":"Liu, W., Zhang, Z., Ding, Y., Wang, B.: Global heterogeneous graph enhanced category-aware attention network for session-based recommendation. Expert Syst. Appl. (2024). https:\/\/doi.org\/10.1016\/j.eswa.2023.122907","journal-title":"Expert Syst. Appl."},{"issue":"8","key":"1644_CR38","doi-asserted-by":"publisher","first-page":"7870","DOI":"10.1109\/TKDE.2022.3208782","volume":"35","author":"A Li","year":"2023","unstructured":"Li, A., Cheng, Z., Liu, F., Gao, Z., Guan, W., Peng, Y.: Disentangled graph neural networks for session-based recommendation. IEEE Trans. Knowl. Data Eng. 35(8), 7870\u20137882 (2023). https:\/\/doi.org\/10.1109\/TKDE.2022.3208782","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"1644_CR39","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2024.111509","author":"X Zhu","year":"2024","unstructured":"Zhu, X., Zhang, Y., Wang, J., Wang, G.: Graph-enhanced and collaborative attention networks for session-based recommendation. Knowl. Based Syst. (2024). https:\/\/doi.org\/10.1016\/j.knosys.2024.111509","journal-title":"Knowl. Based Syst."}],"container-title":["Multimedia Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-024-01644-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00530-024-01644-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-024-01644-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,28]],"date-time":"2025-02-28T11:04:12Z","timestamp":1740740652000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00530-024-01644-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,4]]},"references-count":39,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,2]]}},"alternative-id":["1644"],"URL":"https:\/\/doi.org\/10.1007\/s00530-024-01644-x","relation":{},"ISSN":["0942-4962","1432-1882"],"issn-type":[{"value":"0942-4962","type":"print"},{"value":"1432-1882","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1,4]]},"assertion":[{"value":"24 August 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 December 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 January 2025","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 competing financial or personal interests that could have influenced this work. The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"44"}}