{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T11:30:20Z","timestamp":1783078220136,"version":"3.54.6"},"reference-count":23,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2023,6,14]],"date-time":"2023-06-14T00:00:00Z","timestamp":1686700800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["62262064"],"award-info":[{"award-number":["62262064"]}]},{"name":"National Natural Science Foundation of China","award":["61862060"],"award-info":[{"award-number":["61862060"]}]},{"name":"National Natural Science Foundation of China","award":["2022D01C56"],"award-info":[{"award-number":["2022D01C56"]}]},{"name":"National Natural Science Foundation of China","award":["XJEDU2016S035"],"award-info":[{"award-number":["XJEDU2016S035"]}]},{"name":"National Natural Science Foundation of China","award":["BS150257"],"award-info":[{"award-number":["BS150257"]}]},{"name":"National Natural Science Foundation of China","award":["202212140030"],"award-info":[{"award-number":["202212140030"]}]},{"name":"Natural Science Foundation of Xinjiang Uygur Autonomous Region of China","award":["62262064"],"award-info":[{"award-number":["62262064"]}]},{"name":"Natural Science Foundation of Xinjiang Uygur Autonomous Region of China","award":["61862060"],"award-info":[{"award-number":["61862060"]}]},{"name":"Natural Science Foundation of Xinjiang Uygur Autonomous Region of China","award":["2022D01C56"],"award-info":[{"award-number":["2022D01C56"]}]},{"name":"Natural Science Foundation of Xinjiang Uygur Autonomous Region of China","award":["XJEDU2016S035"],"award-info":[{"award-number":["XJEDU2016S035"]}]},{"name":"Natural Science Foundation of Xinjiang Uygur Autonomous Region of China","award":["BS150257"],"award-info":[{"award-number":["BS150257"]}]},{"name":"Natural Science Foundation of Xinjiang Uygur Autonomous Region of China","award":["202212140030"],"award-info":[{"award-number":["202212140030"]}]},{"name":"Education Department Project of Xinjiang Uygur Autonomous Region","award":["62262064"],"award-info":[{"award-number":["62262064"]}]},{"name":"Education Department Project of Xinjiang Uygur Autonomous Region","award":["61862060"],"award-info":[{"award-number":["61862060"]}]},{"name":"Education Department Project of Xinjiang Uygur Autonomous Region","award":["2022D01C56"],"award-info":[{"award-number":["2022D01C56"]}]},{"name":"Education Department Project of Xinjiang Uygur Autonomous Region","award":["XJEDU2016S035"],"award-info":[{"award-number":["XJEDU2016S035"]}]},{"name":"Education Department Project of Xinjiang Uygur Autonomous Region","award":["BS150257"],"award-info":[{"award-number":["BS150257"]}]},{"name":"Education Department Project of Xinjiang Uygur Autonomous Region","award":["202212140030"],"award-info":[{"award-number":["202212140030"]}]},{"name":"Doctoral Research Start-up Foundation of Xinjiang University","award":["62262064"],"award-info":[{"award-number":["62262064"]}]},{"name":"Doctoral Research Start-up Foundation of Xinjiang University","award":["61862060"],"award-info":[{"award-number":["61862060"]}]},{"name":"Doctoral Research Start-up Foundation of Xinjiang University","award":["2022D01C56"],"award-info":[{"award-number":["2022D01C56"]}]},{"name":"Doctoral Research Start-up Foundation of Xinjiang University","award":["XJEDU2016S035"],"award-info":[{"award-number":["XJEDU2016S035"]}]},{"name":"Doctoral Research Start-up Foundation of Xinjiang University","award":["BS150257"],"award-info":[{"award-number":["BS150257"]}]},{"name":"Doctoral Research Start-up Foundation of Xinjiang University","award":["202212140030"],"award-info":[{"award-number":["202212140030"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Sequential recommendation uses contrastive learning to randomly augment user sequences and alleviate the data sparsity problem. However, there is no guarantee that the augmented positive or negative views remain semantically similar. To address this issue, we propose graph neural network-guided contrastive learning for sequential recommendation (GC4SRec). The guided process employs graph neural networks to obtain user embeddings, an encoder to determine the importance score of each item, and various data augmentation methods to construct a contrast view based on the importance score. Experimental validation is conducted on three publicly available datasets, and the experimental results demonstrate that GC4SRec improves the hit rate and normalized discounted cumulative gain metrics by 1.4% and 1.7%, respectively. The model can enhance recommendation performance and mitigate the data sparsity problem.<\/jats:p>","DOI":"10.3390\/s23125572","type":"journal-article","created":{"date-parts":[[2023,6,15]],"date-time":"2023-06-15T02:28:56Z","timestamp":1686796136000},"page":"5572","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Graph Neural Network-Guided Contrastive Learning for Sequential Recommendation"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-6331-5110","authenticated-orcid":false,"given":"Xing-Yao","family":"Yang","sequence":"first","affiliation":[{"name":"School of Software, Xinjiang University, 666, Shengli Road, Urumqi 830049, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feng","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Software, Xinjiang University, 666, Shengli Road, Urumqi 830049, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiong","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Software, Xinjiang University, 666, Shengli Road, Urumqi 830049, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zi-Yang","family":"Li","sequence":"additional","affiliation":[{"name":"School of Software, Xinjiang University, 666, Shengli Road, Urumqi 830049, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dong-Xiao","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Software, Xinjiang University, 666, Shengli Road, Urumqi 830049, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,14]]},"reference":[{"key":"ref_1","unstructured":"Hidasi, B., Karatzog, A., Baltrunas, L., and Tikk, D. 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