{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T16:20:07Z","timestamp":1778257207100,"version":"3.51.4"},"reference-count":15,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,17]],"date-time":"2022-12-17T00:00:00Z","timestamp":1671235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,17]],"date-time":"2022-12-17T00:00:00Z","timestamp":1671235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,17]]},"DOI":"10.1109\/bigdata55660.2022.10021010","type":"proceedings-article","created":{"date-parts":[[2023,1,26]],"date-time":"2023-01-26T19:35:23Z","timestamp":1674761723000},"page":"709-714","source":"Crossref","is-referenced-by-count":8,"title":["DELATOR: Money Laundering Detection via Multi-Task Learning on Large Transaction Graphs"],"prefix":"10.1109","author":[{"given":"Henrique S.","family":"Assumpcao","sequence":"first","affiliation":[{"name":"Universidade Federal de Minas Gerais"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabricio","family":"Souza","sequence":"additional","affiliation":[{"name":"Universidade Federal de Minas Gerais"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leandro Lacerda","family":"Campos","sequence":"additional","affiliation":[{"name":"Universidade Federal de Minas Gerais,InterMind (Inter&Co)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vinicius T.","family":"de Castro Pires","sequence":"additional","affiliation":[{"name":"Universidade Federal de Minas Gerais,InterMind (Inter&Co)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paulo M. Laurentys","family":"de Almeida","sequence":"additional","affiliation":[{"name":"InterMind (Inter&Co)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabricio","family":"Murai","sequence":"additional","affiliation":[{"name":"Universidade Federal de Minas Gerais,Worcester Polytechnic Institute"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"2012","article-title":"International standards on combating money laundering and the financing of terrorism & proliferation"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1108\/JMLC-07-2015-0029"},{"key":"ref3","article-title":"Circular n\u00ba 3.978, de 23 de janeiro de 2020","year":"2020"},{"key":"ref4","first-page":"287","article-title":"Smurfs, money laundering and the federal criminal law: The crime of structuring transactions","volume":"41","author":"Welling","year":"1989"},{"key":"ref5","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"CoRR","author":"Kipf","year":"2016"},{"key":"ref6","article-title":"Inductive representation learning on large graphs","volume-title":"CoRR","author":"Hamilton","year":"2017"},{"key":"ref7","article-title":"Graph attention networks","author":"Veli\u010dkovi\u0107","year":"2018"},{"key":"ref8","article-title":"SMOTE: synthetic minority over-sampling technique","volume-title":"CoRR","author":"Bowyer","year":"2011"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3437963.3441720"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1007\/978-3-030-86514-6_11","article-title":"Smurf-based anti-money laundering in time-evolving transaction networks","volume-title":"Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track","author":"Starnini","year":"2021"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-022-10904-8"},{"key":"ref12","doi-asserted-by":"crossref","DOI":"10.1109\/BigData55660.2022.10021010","article-title":"Delator: Money laundering detection via multi-task learning on large transaction graphs","author":"Assump\u00e7\u00e3o","year":"2022"},{"key":"ref13","article-title":"Lightgbm: A highly efficient gradient boosting decision tree","volume-title":"Advances in Neural Information Processing Systems","volume":"30","author":"Ke","year":"2017"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401172"},{"key":"ref15","article-title":"Fighting biases with dynamic boosting","volume-title":"CoRR","author":"Dorogush","year":"2017"}],"event":{"name":"2022 IEEE International Conference on Big Data (Big Data)","location":"Osaka, Japan","start":{"date-parts":[[2022,12,17]]},"end":{"date-parts":[[2022,12,20]]}},"container-title":["2022 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10020192\/10020156\/10021010.pdf?arnumber=10021010","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T07:45:09Z","timestamp":1707810309000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10021010\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,17]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/bigdata55660.2022.10021010","relation":{},"subject":[],"published":{"date-parts":[[2022,12,17]]}}}