Diga: Guided Diffusion Model for Graph Recovery in Anti-Money Laundering

Author:

Li Xujia1ORCID,Li Yuan2ORCID,Mo Xueying2ORCID,Xiao Hebing2ORCID,Shen Yanyan3ORCID,Chen Lei4ORCID

Affiliation:

1. Hong Kong University of Science and Technology, Hong Kong SAR, China

2. WeBank, Shenzhen, China

3. Shanghai Jiao Tong University, Shanghai, China

4. Hong Kong University of Science and Technology (Guangzhou) & Hong Kong University of Science and Technology, Guangzhou, China

Funder

Microsoft Research Asia Collaborative Research Grant

HKUST Global Strategic Partnership Fund

the National Science Foundation of China (NSFC)

the Hong Kong RGC GRF Project

the Hong Kong CRF Project

Hong Kong ITC ITF Grants

HKUST-WeBank Joint Research Lab Grant

the Hong Kong AOE Project

the Hong Kong RIF Project

Guangdong Basic and Applied Basic Research Foundation

the Hong Kong Theme-based Project

Publisher

ACM

Reference44 articles.

1. I. Alarab , S. Prakoonwit , and M. I. Nacer . 2020 . Competence of Graph Convolutional Networks for Anti-Money Laundering in Bitcoin Blockchain. In ICMLT 2020: 2020 5th International Conference on Machine Learning Technologies. I. Alarab, S. Prakoonwit, and M. I. Nacer. 2020. Competence of Graph Convolutional Networks for Anti-Money Laundering in Bitcoin Blockchain. In ICMLT 2020: 2020 5th International Conference on Machine Learning Technologies.

2. AntiBenford Subgraphs: Unsupervised Anomaly Detection in Financial Networks

3. Machine learning techniques for anti-money laundering (AML) solutions in suspicious transaction detection: a review

4. Diffusion models beat gans on image synthesis;Dhariwal Prafulla;Advances in Neural Information Processing Systems,2021

5. Kaize Ding , Jundong Li , Nitin Agarwal , and Huan Liu . 2021 . Inductive anomaly detection on attributed networks . In Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence. 1288--1294 . Kaize Ding, Jundong Li, Nitin Agarwal, and Huan Liu. 2021. Inductive anomaly detection on attributed networks. In Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence. 1288--1294.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3