{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T18:03:31Z","timestamp":1779991411582,"version":"3.53.1"},"publisher-location":"New York, NY, USA","reference-count":52,"publisher":"ACM","funder":[{"name":"The \"Pioneer\" and \"Leading Goose\" R&D Program of Zhejiang","award":["2025C02044"],"award-info":[{"award-number":["2025C02044"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,6,29]]},"DOI":"10.1145\/3774905.3795722","type":"proceedings-article","created":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T17:14:56Z","timestamp":1779988496000},"page":"729-737","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["GALRec: Aligning Graph with Large Language Model for Sequential Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-7077-5710","authenticated-orcid":false,"given":"He","family":"Lu","sequence":"first","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore and Beijing University of Aeronautics and Astronautics, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-6593-0523","authenticated-orcid":false,"given":"Yanting","family":"Wang","sequence":"additional","affiliation":[{"name":"Beijing University of Aeronautics and Astronautics, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8492-3990","authenticated-orcid":false,"given":"Haohua","family":"Du","sequence":"additional","affiliation":[{"name":"Beihang University Hangzhou Innovation Institute, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-2054-7474","authenticated-orcid":false,"given":"Yue","family":"Liu","sequence":"additional","affiliation":[{"name":"Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3687-1137","authenticated-orcid":false,"given":"Hanqing","family":"Yu","sequence":"additional","affiliation":[{"name":"Beijing University of Aeronautics and Astronautics, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,5,28]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3608857"},{"key":"e_1_3_2_1_2_1","volume-title":"PALR: Personalization Aware LLMs for Recommendation. ArXiv","author":"Chen Zheng","year":"2023","unstructured":"Zheng Chen and Ziyan Jiang. 2023. PALR: Personalization Aware LLMs for Recommendation. ArXiv, Vol. abs\/2305.07622 (2023). https:\/\/api.semanticscholar.org\/CorpusID:258676274"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3655103.3655110"},{"key":"e_1_3_2_1_4_1","volume-title":"M6-rec: Generative pretrained language models are open-ended recommender systems. arXiv preprint arXiv:2205.08084","author":"Cui Zeyu","year":"2022","unstructured":"Zeyu Cui, Jianxin Ma, Chang Zhou, Jingren Zhou, and Hongxia Yang. 2022. M6-rec: Generative pretrained language models are open-ended recommender systems. arXiv preprint arXiv:2205.08084 (2022)."},{"key":"e_1_3_2_1_5_1","volume-title":"Large Language Model with Graph Convolution for Recommendation. arXiv preprint arXiv:2402.08859","author":"Du Yingpeng","year":"2024","unstructured":"Yingpeng Du, Ziyan Wang, Zhu Sun, Haoyan Chua, Hongzhi Liu, Zhonghai Wu, Yining Ma, Jie Zhang, and Youchen Sun. 2024. Large Language Model with Graph Convolution for Recommendation. arXiv preprint arXiv:2402.08859 (2024)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3426723"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3523227.3546767"},{"key":"e_1_3_2_1_8_1","volume-title":"The movielens datasets: History and context. Acm transactions on interactive intelligent systems (tiis)","author":"Maxwell Harper F","year":"2015","unstructured":"F Maxwell Harper and Joseph A Konstan. 2015. The movielens datasets: History and context. Acm transactions on interactive intelligent systems (tiis), Vol. 5, 4 (2015), 1-19."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271761"},{"key":"e_1_3_2_1_12_1","volume-title":"Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939","author":"Hidasi Bal\u00e1zs","year":"2015","unstructured":"Bal\u00e1zs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2015. Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939 (2015)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-56060-6_24"},{"key":"e_1_3_2_1_14_1","volume-title":"Large Language Models on Graphs: A Comprehensive Survey. ArXiv","author":"Jin Bowen","year":"2023","unstructured":"Bowen Jin, Gang Liu, Chi Han, Meng Jiang, Heng Ji, and Jiawei Han. 2023. Large Language Models on Graphs: A Comprehensive Survey. ArXiv, Vol. abs\/2312.02783 (2023). https:\/\/api.semanticscholar.org\/CorpusID:265659184"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_2_1_16_1","volume-title":"Chi, and Derek Zhiyuan Cheng","author":"Kang Wang-Cheng","year":"2023","unstructured":"Wang-Cheng Kang, Jianmo Ni, Nikhil Mehta, Maheswaran Sathiamoorthy, Lichan Hong, Ed Chi, and Derek Zhiyuan Cheng. 2023. Do llms understand user preferences? evaluating llms on user rating prediction. arXiv preprint arXiv:2305.06474 (2023)."},{"key":"e_1_3_2_1_17_1","volume-title":"Computer","volume":"42","author":"Koren Yehuda","year":"2009","unstructured":"Yehuda Koren, Robert M. Bell, and Chris Volinsky. 2009. Matrix Factorization Techniques for Recommender Systems. Computer, Vol. 42 (2009). https:\/\/api.semanticscholar.org\/CorpusID:58370896"},{"key":"e_1_3_2_1_18_1","volume-title":"Exploring the upper limits of text-based collaborative filtering using large language models: Discoveries and insights. arXiv preprint arXiv:2305.11700","author":"Li Ruyu","year":"2023","unstructured":"Ruyu Li, Wenhao Deng, Yu Cheng, Zheng Yuan, Jiaqi Zhang, and Fajie Yuan. 2023. Exploring the upper limits of text-based collaborative filtering using large language models: Discoveries and insights. arXiv preprint arXiv:2305.11700 (2023)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220014"},{"key":"e_1_3_2_1_20_1","volume-title":"Is chatgpt a good recommender? a preliminary study. arXiv preprint arXiv:2304.10149","author":"Liu Junling","year":"2023","unstructured":"Junling Liu, Chao Liu, Peilin Zhou, Renjie Lv, Kang Zhou, and Yan Zhang. 2023. Is chatgpt a good recommender? a preliminary study. arXiv preprint arXiv:2304.10149 (2023)."},{"key":"e_1_3_2_1_21_1","volume-title":"Generative sequential recommendation with gptrec. arXiv preprint arXiv:2306.11114","author":"Petrov Aleksandr V","year":"2023","unstructured":"Aleksandr V Petrov and Craig Macdonald. 2023. Generative sequential recommendation with gptrec. arXiv preprint arXiv:2306.11114 (2023)."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331230"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014806"},{"key":"e_1_3_2_1_24_1","volume-title":"Proceedings of the ACM on Web Conference 2024","author":"Ren Xubin","year":"2023","unstructured":"Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, and Chao Huang. 2023. Representation Learning with Large Language Models for Recommendation. Proceedings of the ACM on Web Conference 2024 (2023). https:\/\/api.semanticscholar.org\/CorpusID:264439548"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3661821"},{"key":"e_1_3_2_1_26_1","volume-title":"Augmenting recurrent neural networks with high-order user-contextual preference for session-based recommendation. arXiv preprint arXiv:1805.02983","author":"Song Younghun","year":"2018","unstructured":"Younghun Song and Jae-Gil Lee. 2018. Augmenting recurrent neural networks with high-order user-contextual preference for session-based recommendation. arXiv preprint arXiv:1805.02983 (2018)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988452"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159656"},{"key":"e_1_3_2_1_29_1","volume-title":"GraphGPT: Graph Instruction Tuning for Large Language Models. ArXiv","author":"Tang Jiabin","year":"2023","unstructured":"Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, and Chao Huang. 2023. GraphGPT: Graph Instruction Tuning for Large Language Models. ArXiv, Vol. abs\/2310.13023 (2023). https:\/\/api.semanticscholar.org\/CorpusID:264405943"},{"key":"e_1_3_2_1_30_1","volume-title":"Llama: Open and efficient foundation language models. arXiv preprint arXiv:2302.13971","author":"Touvron Hugo","year":"2023","unstructured":"Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timoth\u00e9e Lacroix, Baptiste Rozi\u00e8re, Naman Goyal, Eric Hambro, Faisal Azhar, et al., 2023. Llama: Open and efficient foundation language models. arXiv preprint arXiv:2302.13971 (2023)."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109900"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959162"},{"key":"e_1_3_2_1_33_1","volume-title":"Zero-shot next-item recommendation using large pretrained language models. arXiv preprint arXiv:2304.03153","author":"Wang Lei","year":"2023","unstructured":"Lei Wang and Ee-Peng Lim. 2023. Zero-shot next-item recommendation using large pretrained language models. arXiv preprint arXiv:2304.03153 (2023)."},{"key":"e_1_3_2_1_34_1","volume-title":"Text Embeddings by Weakly-Supervised Contrastive Pre-training. arXiv preprint arXiv:2212.03533","author":"Wang Liang","year":"2022","unstructured":"Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, and Furu Wei. 2022. Text Embeddings by Weakly-Supervised Contrastive Pre-training. arXiv preprint arXiv:2212.03533 (2022)."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331224"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3440207"},{"key":"e_1_3_2_1_37_1","volume-title":"Sequential recommender systems: challenges, progress and prospects. arXiv preprint arXiv:2001.04830","author":"Wang Shoujin","year":"2019","unstructured":"Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z Sheng, and Mehmet Orgun. 2019b. Sequential recommender systems: challenges, progress and prospects. arXiv preprint arXiv:2001.04830 (2019)."},{"key":"e_1_3_2_1_38_1","volume-title":"Jingyuan Wang, and Ji-Rong Wen.","author":"Wang Xiaolei","year":"2023","unstructured":"Xiaolei Wang, Xinyu Tang, Wayne Xin Zhao, Jingyuan Wang, and Ji-Rong Wen. 2023. Rethinking the evaluation for conversational recommendation in the era of large language models. arXiv preprint arXiv:2305.13112 (2023)."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i17.29887"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401142"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3616855.3635853"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3133163"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i8.28769"},{"key":"e_1_3_2_1_44_1","unstructured":"Likang Wu Zhi Zheng Zhaopeng Qiu Hao Wang Hongchao Gu Tingjia Shen Chuan Qin Chen Zhu Hengshu Zhu Qi Liu et al. 2023. A survey on large language models for recommendation. arXiv preprint arXiv:2305.19860 (2023)."},{"key":"e_1_3_2_1_45_1","volume-title":"OpenGraph: Towards Open Graph Foundation Models. ArXiv","author":"Xia Lianghao","year":"2024","unstructured":"Lianghao Xia, Ben Kao, and Chao Huang. 2024. OpenGraph: Towards Open Graph Foundation Models. ArXiv, Vol. abs\/2403.01121 (2024). https:\/\/api.semanticscholar.org\/CorpusID:268230376"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591624"},{"key":"e_1_3_2_1_47_1","volume-title":"A Survey on Multimodal Large Language Models. ArXiv","author":"Yin Shukang","year":"2023","unstructured":"Shukang Yin, Chaoyou Fu, Sirui Zhao, Ke Li, Xing Sun, Tong Xu, and Enhong Chen. 2023. A Survey on Multimodal Large Language Models. ArXiv, Vol. abs\/2306.13549 (2023). https:\/\/api.semanticscholar.org\/CorpusID:259243718"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380116"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3290975"},{"key":"e_1_3_2_1_50_1","volume-title":"Leyu Lin, and Ji rong Wen.","author":"Zhang Junjie","year":"2023","unstructured":"Junjie Zhang, Ruobing Xie, Yupeng Hou, Wayne Xin Zhao, Leyu Lin, and Ji rong Wen. 2023. Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach. ArXiv, Vol. abs\/2305.07001 (2023). https:\/\/api.semanticscholar.org\/CorpusID:258615776"},{"key":"e_1_3_2_1_51_1","volume-title":"Collm: Integrating collaborative embeddings into large language models for recommendation","author":"Zhang Yang","year":"2025","unstructured":"Yang Zhang, Fuli Feng, Jizhi Zhang, Keqin Bao, Qifan Wang, and Xiangnan He. 2025. Collm: Integrating collaborative embeddings into large language models for recommendation. IEEE Transactions on Knowledge and Data Engineering (2025)."},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/1060745.1060754"}],"event":{"name":"WWW '26: The ACM Web Conference 2026","location":"Dubai United Arab Emirates","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Companion Proceedings of the ACM Web Conference 2026"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3774905.3795722","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T17:16:28Z","timestamp":1779988588000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3774905.3795722"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,28]]},"references-count":52,"alternative-id":["10.1145\/3774905.3795722","10.1145\/3774905"],"URL":"https:\/\/doi.org\/10.1145\/3774905.3795722","relation":{},"subject":[],"published":{"date-parts":[[2026,5,28]]},"assertion":[{"value":"2026-05-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}