:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	huang, hai
Format:	Recurso digital
Language:
Published:	Zenodo 2025
Online Access:	https://doi.org/10.5281/zenodo.17465720
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Network Embedding Analysis for Anti-Money Laundering Detection
by: Bonato, Anthony, 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)

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

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

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

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

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)

TransXion: A High-Fidelity Graph Benchmark for Realistic Anti-Money Laundering
by: Chen, Keyang, 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)

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

Deep Learning for Cross-Border Transaction Anomaly Detection in Anti-Money Laundering Systems
by: Yu, Qian, et al.
Published: (2024)

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

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

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

Exploring the In-Context Learning Capabilities of LLMs for Money Laundering Detection in Financial Graphs
by: Pirmorad, Erfan
Published: (2025)

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

Graph-Driven Cross-Industry Real-Time Monitoring Framework for Anti-Money Laundering Detection in Converged Mobility-Energy Supply Chain Networks
by: Liu, Rong, et al.
Published: (2026)

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

South Africa: Money Laundering Greylist
Published: (2025)

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

Dynamic Localisation of Spatial-Temporal Graph Neural Network
by: Duan, Wenying, et al.
Published: (2025)

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

Deep Learning Approaches for Anti-Money Laundering on Mobile Transactions: Review, Framework, and Directions
by: Fan, Jiani, et al.
Published: (2025)

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

DPxFin: Adaptive Differential Privacy for Anti-Money Laundering Detection via Reputation-Weighted Federated Learning
by: Kanagavelu, Renuga, et al.
Published: (2026)

Amatriciana: Exploiting Temporal GNNs for Robust and Efficient Money Laundering Detection
by: Di Gennaro, Marco, et al.
Published: (2025)

zkMixer: A Configurable Zero-Knowledge Mixer with Anti-Money Laundering Consensus Protocols
by: Constantinides, Theodoros, et al.
Published: (2025)

Hybrid Data can Enhance the Utility of Synthetic Data for Training Anti-Money Laundering Models
by: Chung, Rachel, 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)

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

Topology-Agnostic Detection of Temporal Money Laundering Flows in Billion-Scale Transactions
by: Tariq, Haseeb, et al.
Published: (2023)

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

AMLNet: A Knowledge-Based Multi-Agent Framework to Generate and Detect Realistic Money Laundering Transactions
by: Huda, Sabin, et al.
Published: (2025)

MPOCryptoML: Multi-Pattern based Off-Chain Crypto Money Laundering Detection
by: Samadi, Yasaman, et al.
Published: (2025)

AMLgentex: Mobilizing Data-Driven Research to Combat Money Laundering
by: Östman, Johan, et al.
Published: (2025)

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

The Shape of Deceit: Behavioral Consistency and Fragility in Money Laundering Patterns
by: Butvinik, Danny, et al.
Published: (2025)