Realistic Synthetic Financial Transactions for Anti-Money Laundering Models
Fuente:
arXiv
Saved in:
| Main Authors: | Altman, Erik, Blanuša, Jovan, von Niederhäusern, Luc, Egressy, Béni, Anghel, Andreea, Atasu, Kubilay |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Provably Powerful Graph Neural Networks for Directed Multigraphs
by: Egressy, Béni, et al.
Published: (2023)
by: Egressy, Béni, et al.
Published: (2023)
Graph Feature Preprocessor: Real-time Subgraph-based Feature Extraction for Financial Crime Detection
by: Blanuša, Jovan, et al.
Published: (2024)
by: Blanuša, Jovan, et al.
Published: (2024)
AMLNet: A Knowledge-Based Multi-Agent Framework to Generate and Detect Realistic Money Laundering Transactions
by: Huda, Sabin, et al.
Published: (2025)
by: Huda, Sabin, et al.
Published: (2025)
LineMVGNN: Anti-Money Laundering with Line-Graph-Assisted Multi-View Graph Neural Networks
by: Poon, Chung-Hoo, et al.
Published: (2026)
by: Poon, Chung-Hoo, et al.
Published: (2026)
AI Application in Anti-Money Laundering for Sustainable and Transparent Financial Systems
by: Nie, Chuanhao, et al.
Published: (2025)
by: Nie, Chuanhao, et al.
Published: (2025)
Set-LLM: A Permutation-Invariant LLM
by: Egressy, Beni, et al.
Published: (2025)
by: Egressy, Beni, et al.
Published: (2025)
Combating Financial Crimes with Unsupervised Learning Techniques: Clustering and Dimensionality Reduction for Anti-Money Laundering
by: Bakry, Ahmed N., et al.
Published: (2024)
by: Bakry, Ahmed N., et al.
Published: (2024)
Deep Learning Approaches for Anti-Money Laundering on Mobile Transactions: Review, Framework, and Directions
by: Fan, Jiani, et al.
Published: (2025)
by: Fan, Jiani, et al.
Published: (2025)
TransXion: A High-Fidelity Graph Benchmark for Realistic Anti-Money Laundering
by: Chen, Keyang, et al.
Published: (2026)
by: Chen, Keyang, et al.
Published: (2026)
Topology-Agnostic Detection of Temporal Money Laundering Flows in Billion-Scale Transactions
by: Tariq, Haseeb, et al.
Published: (2023)
by: Tariq, Haseeb, et al.
Published: (2023)
Utilizing GANs for Fraud Detection: Model Training with Synthetic Transaction Data
by: Zhu, Mengran, et al.
Published: (2024)
by: Zhu, Mengran, et al.
Published: (2024)
Anti-Money Laundering Systems Using Deep Learning
by: Sidiq, Mashkhal Abdalwahid, et al.
Published: (2025)
by: Sidiq, Mashkhal Abdalwahid, et al.
Published: (2025)
Identifying Money Laundering Subgraphs on the Blockchain
by: Song, Kiwhan, et al.
Published: (2024)
by: Song, Kiwhan, et al.
Published: (2024)
Intelligent Anti-Money Laundering Solution Based upon Novel Community Detection in Massive Transaction Networks on Spark
by: Li, Xurui, et al.
Published: (2025)
by: Li, Xurui, et al.
Published: (2025)
A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges
by: Nie, Yuqi, et al.
Published: (2024)
by: Nie, Yuqi, et al.
Published: (2024)
The LLM Pro Finance Suite: Multilingual Large Language Models for Financial Applications
by: Caillaut, Gaëtan, et al.
Published: (2025)
by: Caillaut, Gaëtan, et al.
Published: (2025)
Better with Less: Small Proprietary Models Surpass Large Language Models in Financial Transaction Understanding
by: Ding, Wanying, et al.
Published: (2025)
by: Ding, Wanying, et al.
Published: (2025)
Tide: A Customisable Dataset Generator for Anti-Money Laundering Research
by: Beukel, Montijn van den, et al.
Published: (2026)
by: Beukel, Montijn van den, et al.
Published: (2026)
AMLgentex: Mobilizing Data-Driven Research to Combat Money Laundering
by: Östman, Johan, et al.
Published: (2025)
by: Östman, Johan, et al.
Published: (2025)
Exploring the In-Context Learning Capabilities of LLMs for Money Laundering Detection in Financial Graphs
by: Pirmorad, Erfan
Published: (2025)
by: Pirmorad, Erfan
Published: (2025)
Financial Statement Analysis with Large Language Models
by: Kim, Alex, et al.
Published: (2024)
by: Kim, Alex, et al.
Published: (2024)
StableAML: Machine Learning for Behavioral Wallet Detection in Stablecoin Anti-Money Laundering on Ethereum
by: Juvinski, Luciano, et al.
Published: (2026)
by: Juvinski, Luciano, et al.
Published: (2026)
Know Your Intent: An Autonomous Multi-Perspective LLM Agent Framework for DeFi User Transaction Intent Mining
by: Mao, Qian'ang, et al.
Published: (2025)
by: Mao, Qian'ang, et al.
Published: (2025)
FinZero: Launching Multi-modal Financial Time Series Forecast with Large Reasoning Model
by: Wang, Yanlong, et al.
Published: (2025)
by: Wang, Yanlong, et al.
Published: (2025)
Reasoning on Time-Series for Financial Technical Analysis
by: Koa, Kelvin J. L., et al.
Published: (2025)
by: Koa, Kelvin J. L., et al.
Published: (2025)
Fusing Narrative Semantics for Financial Volatility Forecasting
by: Kong, Yaxuan, et al.
Published: (2025)
by: Kong, Yaxuan, et al.
Published: (2025)
Deep Learning Models Meet Financial Data Modalities
by: Khubiev, Kasymkhan, et al.
Published: (2025)
by: Khubiev, Kasymkhan, et al.
Published: (2025)
Modeling News Interactions and Influence for Financial Market Prediction
by: Wang, Mengyu, et al.
Published: (2024)
by: Wang, Mengyu, et al.
Published: (2024)
FinCARE: Financial Causal Analysis with Reasoning and Evidence
by: Michel, Alejandro, et al.
Published: (2025)
by: Michel, Alejandro, et al.
Published: (2025)
Money Laundering and Financial Risk Management in Latin America, with Special Reference to Mexico
by: Willy Zapata Sagastume
Published: (2016)
by: Willy Zapata Sagastume
Published: (2016)
Personalized Chain-of-Thought Summarization of Financial News for Investor Decision Support
by: Zhang, Tianyi, et al.
Published: (2025)
by: Zhang, Tianyi, et al.
Published: (2025)
Assessing the Potential of AI for Spatially Sensitive Nature-Related Financial Risks
by: Reece, Steven, et al.
Published: (2024)
by: Reece, Steven, et al.
Published: (2024)
FINCH: Financial Intelligence using Natural language for Contextualized SQL Handling
by: Singh, Avinash Kumar, et al.
Published: (2025)
by: Singh, Avinash Kumar, et al.
Published: (2025)
VERAFI: Verified Agentic Financial Intelligence through Neurosymbolic Policy Generation
by: Akinfaderin, Adewale, et al.
Published: (2025)
by: Akinfaderin, Adewale, et al.
Published: (2025)
Kronos: A Foundation Model for the Language of Financial Markets
by: Shi, Yu, et al.
Published: (2025)
by: Shi, Yu, et al.
Published: (2025)
INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent
by: Li, Haohang, et al.
Published: (2024)
by: Li, Haohang, et al.
Published: (2024)
DeFi TrustBoost: Blockchain and AI for Trustworthy Decentralized Financial Decisions
by: Sachan, Swati, et al.
Published: (2025)
by: Sachan, Swati, et al.
Published: (2025)
An Algorithmic Framework for Systematic Literature Reviews: A Case Study for Financial Narratives
by: Taibi, Gabin, et al.
Published: (2026)
by: Taibi, Gabin, et al.
Published: (2026)
Beyond Monte Carlo: Harnessing Diffusion Models to Simulate Financial Market Dynamics
by: Lesniewski, Andrew, et al.
Published: (2024)
by: Lesniewski, Andrew, et al.
Published: (2024)
Advancing Financial Engineering with Foundation Models: Progress, Applications, and Challenges
by: Chen, Liyuan, et al.
Published: (2025)
by: Chen, Liyuan, et al.
Published: (2025)
Similar Items
-
Provably Powerful Graph Neural Networks for Directed Multigraphs
by: Egressy, Béni, et al.
Published: (2023) -
Graph Feature Preprocessor: Real-time Subgraph-based Feature Extraction for Financial Crime Detection
by: Blanuša, Jovan, et al.
Published: (2024) -
AMLNet: A Knowledge-Based Multi-Agent Framework to Generate and Detect Realistic Money Laundering Transactions
by: Huda, Sabin, et al.
Published: (2025) -
LineMVGNN: Anti-Money Laundering with Line-Graph-Assisted Multi-View Graph Neural Networks
by: Poon, Chung-Hoo, et al.
Published: (2026) -
AI Application in Anti-Money Laundering for Sustainable and Transparent Financial Systems
by: Nie, Chuanhao, et al.
Published: (2025)