{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T09:19:39Z","timestamp":1770801579092,"version":"3.50.0"},"reference-count":90,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2022YFB4501704"],"award-info":[{"award-number":["2022YFB4501704"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62373094"],"award-info":[{"award-number":["62373094"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation of Shanghai","award":["23ZR1401000"],"award-info":[{"award-number":["23ZR1401000"]}]},{"name":"Interdisciplinary Frontier Innovation Team Development Special Fund of Donghua University"},{"name":"Donghua University 2024 Cultivation Project of Discipline Innovation","award":["xkcx-202406"],"award-info":[{"award-number":["xkcx-202406"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Netw. Sci. Eng."],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/tnse.2026.3656220","type":"journal-article","created":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T21:11:33Z","timestamp":1769029893000},"page":"6366-6382","source":"Crossref","is-referenced-by-count":0,"title":["Beyond Graph Structure: Semantic Augmentation With LLMs for Bitcoin Money Laundering Detection Under Economic Networks"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-6272-2086","authenticated-orcid":false,"given":"Xueting","family":"Yang","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Tongji University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2304-923X","authenticated-orcid":false,"given":"Zhong","family":"Li","sequence":"additional","affiliation":[{"name":"School of Information and Intelligent Science, Donghua University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0637-9317","authenticated-orcid":false,"given":"Changjun","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Tongji University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2025.3594185"},{"key":"ref2","article-title":"The state of cross-chain crime 2023","year":"2023"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2018.2867497"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-2777-7_42"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3383455.3422549"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3409073.3409078"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s42979-021-00558-z"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3171549"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/BigData55660.2022.10020982"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599803"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.109810"},{"key":"ref12","first-page":"1","article-title":"Anti-money laundering in bitcoin: Experimenting with graph convolutional networks for financial forensics","volume-title":"Proc. ACM KDD Workshop Anomaly Detection Finance","author":"Weber","year":"2019"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3409073.3409080"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2021.3049278"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-023-04504-9"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE55515.2023.00137"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-33377-4_10"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/e26030211"},{"key":"ref19","first-page":"8123","article-title":"A survey of graph meets large language model: Progress and future directions","volume-title":"Proc. Int. Joint Conf. Artif. Intell.","author":"Li","year":"2024"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2025.3612194"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3266162"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2023.3329520"},{"issue":"4","key":"ref23","first-page":"21","article-title":"Financial crimes enforcement network AI system (FAIS) identifying potential money laundering from reports of large cash transactions","volume":"16","author":"Senator","year":"1995","journal-title":"AI Mag."},{"key":"ref24","first-page":"1","article-title":"Fuzzy computing applications for anti-money laundering and distributed storage system load monitoring","volume-title":"Proc. World Conf. Soft Comput.","author":"Chen","year":"2011"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.2316\/Journal.202.2013.4.202-3864"},{"issue":"1","key":"ref26","first-page":"12","article-title":"Money laundering analysis based on time variant behavioral transaction patterns using data mining","volume":"67","author":"Nadu","year":"2014","journal-title":"J. Theor. Appl. Inf. Technol."},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.5539\/cis.v7n1p103"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-44966-0_19"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLC.2005.1527539"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLC.2007.4370155"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICWAPR.2008.4635778"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICMSS.2009.5302396"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2017.1700213"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.jaubas.2016.03.001"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.forsciint.2017.11.008"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICIMTech.2019.8843719"},{"key":"ref37","first-page":"69","article-title":"Graph mining approach to suspicious transaction detection","volume-title":"Proc. Federated Conf. Comput. Sci. Inf. Syst.","author":"Michalak","year":"2011"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/UEMCON.2016.7777919"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5906"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-75762-5_7"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2023.3273543"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-024-40474-y"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3025588"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3533271.3561727"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s13369-021-06116-2"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i12.26656"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3272396"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2025.3529321"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3241442"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2024.3455111"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS63083.2025.00077"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2022.3166655"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3208471"},{"key":"ref54","article-title":"Ethereum transaction tracking: Inferring evolution of transaction networks via link prediction","volume-title":"Physica A: Stat. Mechan. Appl.","volume":"600","author":"Lin","year":"2022"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3346276"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2023.3267822"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2024.3384499"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2024.3475825"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3326984"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2025.128900"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449880"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2020.2970113"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.23919\/JCC.2022.00.030"},{"key":"ref64","first-page":"751","article-title":"Mixed signals: Analyzing ground-truth data on the users and economics of a bitcoin mixing service","volume-title":"Proc. 32nd USENIX Secur. Symp.","author":"Miedema","year":"2023"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3275158"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CCNC51664.2024.10454631"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-024-31018-5"},{"key":"ref68","article-title":"RiskLabs: Predicting financial risk using large language model based on multimodal and multi-sources data","author":"Cao","year":"2025"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1016\/j.frl.2025.106967"},{"key":"ref70","article-title":"Enhancing illicit activity detection using XAI: A multimodal graph-LLM framework","author":"Nicholls","year":"2023"},{"key":"ref71","article-title":"Explain first, trust later: LLM-augmented explanations for graph-based crypto anomaly detection","author":"Watson","year":"2025"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3229213"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380027"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539336"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref76","first-page":"9694","article-title":"Align before fuse: Vision and language representation learning with momentum distillation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Li"},{"key":"ref77","article-title":"Representation learning with contrastive predictive coding","author":"den","year":"2018"},{"key":"ref78","article-title":"Characterizing and detecting money laundering activities on the bitcoin network","author":"Hu","year":"2019"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1002\/0471722146"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.29172\/7c2a6982-6d72-4cd8-bba6-2fccb06a7011"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1016\/c2009-0-22409-3"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref84","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kipf","year":"2017"},{"key":"ref85","first-page":"1","article-title":"Graph attention networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Velikovi","year":"2018"},{"key":"ref86","first-page":"1","article-title":"How powerful are graph neural networks?","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Xu","year":"2019"},{"key":"ref87","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Hamilton"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93417-4_38"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313562"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"}],"container-title":["IEEE Transactions on Network Science and Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488902\/11264281\/11359545.pdf?arnumber=11359545","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T21:05:54Z","timestamp":1770757554000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11359545\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":90,"URL":"https:\/\/doi.org\/10.1109\/tnse.2026.3656220","relation":{},"ISSN":["2327-4697","2334-329X"],"issn-type":[{"value":"2327-4697","type":"electronic"},{"value":"2334-329X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}