Cover Image

TransXion: A High-Fidelity Graph Benchmark for Realistic Anti-Money Laundering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Keyang, Jiang, Mingxuan, Zhao, Yongsheng, Li, Zeping, Chen, Zaiyuan, Luo, Weiqi, Li, Zhixin, Liu, Sen, Jing, Yinan, Ye, Guangnan, Wu, Xihong, Chai, Hongfeng
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Social and Information Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Behavioral Consistency Validation for LLM Agents: An Analysis of Trading-Style Switching through Stock-Market Simulation
by: Li, Zeping, et al.
Published: (2026)

Realistic Synthetic Financial Transactions for Anti-Money Laundering Models
by: Altman, Erik, et al.
Published: (2023)

Rethinking the Role of Entropy in Optimizing Tool-Use Behaviors for Large Language Model Agents
by: Li, Zeping, et al.
Published: (2026)

GAM-RAG: Gain-Adaptive Memory for Evolving Retrieval in Retrieval-Augmented Generation
by: Wang, Yifan, et al.
Published: (2026)

SilverSight: A Multi-Task Chinese Financial Large Language Model Based on Adaptive Semantic Space Learning
by: Zhou, Yuhang, et al.
Published: (2024)

Anti-Money Laundering Systems Using Deep Learning
by: Sidiq, Mashkhal Abdalwahid, et al.
Published: (2025)

Network Embedding Analysis for Anti-Money Laundering Detection
by: Bonato, Anthony, et al.
Published: (2025)

Identifying Money Laundering Subgraphs on the Blockchain
by: Song, Kiwhan, et al.
Published: (2024)

Intelligent Anti-Money Laundering Detection Platform Based on Dynamic Graph Neural Networks
by: huang, hai
Published: (2025)

Advances in Continual Graph Learning for Anti-Money Laundering Systems: A Comprehensive Review
by: Deprez, Bruno, et al.
Published: (2025)

Advances in Continual Graph Learning for Anti‐Money Laundering Systems: A Comprehensive Review
by: Bruno Deprez, et al.
Published: (2025)

Towards Collaborative Anti-Money Laundering Among Financial Institutions
by: Tian, Zhihua, et al.
Published: (2025)

Enhancing Anti-Money Laundering Efforts with Network-Based Algorithms
by: Bonato, Anthony, et al.
Published: (2024)

LineMVGNN: Anti-Money Laundering with Line-Graph-Assisted Multi-View Graph Neural Networks
by: Poon, Chung-Hoo, et al.
Published: (2026)

Tide: A Customisable Dataset Generator for Anti-Money Laundering Research
by: Beukel, Montijn van den, et al.
Published: (2026)

AI Application in Anti-Money Laundering for Sustainable and Transparent Financial Systems
by: Nie, Chuanhao, et al.
Published: (2025)

StableAML: Machine Learning for Behavioral Wallet Detection in Stablecoin Anti-Money Laundering on Ethereum
by: Juvinski, Luciano, et al.
Published: (2026)

BlazingAML: High-Throughput Anti-Money Laundering (AML) via Multi-Stage Graph Mining
by: Ye, Haojie, et al.
Published: (2026)

GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money Laundering
by: Deprez, Bruno, et al.
Published: (2025)

Privacy-Preserving Graph-Based Machine Learning with Fully Homomorphic Encryption for Collaborative Anti-Money Laundering
by: Effendi, Fabrianne, et al.
Published: (2024)

South Africa: Money Laundering Greylist
Published: (2025)

RAGFormer: Learning Semantic Attributes and Topological Structure for Fraud Detection
by: Li, Haolin, 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)

Detecting Complex Money Laundering Patterns with Incremental and Distributed Graph Modeling
by: Tariq, Haseeb, et al.
Published: (2026)

Extracting Money Laundering Transactions from Quasi-Temporal Graph Representation
by: Tariq, Haseeb, et al.
Published: (2026)

FedGraph-VASP: Privacy-Preserving Federated Graph Learning with Post-Quantum Security for Cross-Institutional Anti-Money Laundering
by: Commey, Daniel, et al.
Published: (2026)

Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation
by: Deprez, Bruno, et al.
Published: (2024)

Deep Learning for Cross-Border Transaction Anomaly Detection in Anti-Money Laundering Systems
by: Yu, Qian, 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)

Intelligent Anti-Money Laundering Solution Based upon Novel Community Detection in Massive Transaction Networks on Spark
by: Li, Xurui, et al.
Published: (2025)

AMLgentex: Mobilizing Data-Driven Research to Combat Money Laundering
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)

zkMixer: A Configurable Zero-Knowledge Mixer with Anti-Money Laundering Consensus Protocols
by: Constantinides, Theodoros, 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)

Hybrid Data can Enhance the Utility of Synthetic Data for Training Anti-Money Laundering Models
by: Chung, Rachel, et al.
Published: (2025)

Green Grease: Environmental Crime, Corruption and Money Laundering
by: Raffaella Barone, et al.
Published: (2025)

The Balance between Nuance and Clarity: Decluttering Tabular Sequential Graphs to Counter Money Laundering
by: Esteves, Salomé, et al.
Published: (2026)

Anti-Money Laundering Machine Learning Pipelines; A Technical Analysis on Identifying High-risk Bank Clients with Supervised Learning
by: Namdar, Khashayar, et al.
Published: (2025)

The Shape of Money Laundering: Subgraph Representation Learning on the Blockchain with the Elliptic2 Dataset
by: Bellei, Claudio, et al.
Published: (2024)

Forensic Auditing and Money Laundering Control in Nigeria Police Force
by: Turner Ogiriki & Gospel J. Chukwu
Published: (2025)