Research on Graph Neural Network Algorithms for Financial Anomaly Detection-Reference-Cited by-同舟云学术

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Research on Graph Neural Network Algorithms for Financial Anomaly Detection

Published:2023-11-17 Issue: Volume:2021 Page:18-23
ISSN:
Container-title:2023 International Conference on Networks, Communications and Intelligent Computing (NCIC)
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Author:

Lu Xin¹,Duan Chengge²,Xie Anqi¹,Bao Menghu³,Wang Minze¹,Zhong QiLong⁴

Affiliation:

1. School of Advanced Technology, Xi'an Jiaotong-Liverpool University,Suzhou,China

2. Industrial Park Branch Suzhou, Municipal Public Security Bureau,Suzhou,China

3. China Institute of Forensic Science,Beijing,China

4. School of Control Engineering, Northeastern University at Qinhuangdao,Qinhuangdao,China

Funder

Ministry of Public Security (MPS)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10529626/10529627/10529666.pdf?arnumber=10529666

Reference20 articles.

1. Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data

2. Trustworthy Policy Learning under the Counterfactual No-Harm Criterion;Li

3. StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random;Li

4. Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection;Fan

5. Unsupervised Anomaly Detection & Diagnosis: A Stein Variational Gradient Descent Approach

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