{"total":21,"rows":[{"id":"2306.06108","title":"Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics","created":"2023-05-25","cited_by_count":19,"area":null},{"id":"2102.05373","title":"GuiltyWalker: Distance to illicit nodes in the Bitcoin network","created":"2021-02-10","cited_by_count":13,"area":null},{"id":"2203.10465","title":"Inspection-L: Self-Supervised GNN Node Embeddings for Money Laundering Detection in Bitcoin","created":"2022-03-20","cited_by_count":13,"area":null},{"id":"2406.10942","title":"Effective Generative AI: The Human-Algorithm Centaur","created":"2024-06-16","cited_by_count":8,"area":null},{"id":"2112.07508","title":"Anti-Money Laundering Alert Optimization Using Machine Learning with Graphs","created":"2021-12-14","cited_by_count":7,"area":null},{"id":"2405.19383","title":"Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation","created":"2024-05-29","cited_by_count":7,"area":null},{"id":"2201.04207","title":"Fighting Money Laundering with Statistics and Machine Learning","created":"2022-01-11","cited_by_count":5,"area":null},{"id":"2206.04803","title":"Detecting Anomalous Cryptocurrency Transactions: an AML/CFT Application of Machine Learning-based Forensics","created":"2022-06-07","cited_by_count":5,"area":null},{"id":"2307.13499","title":"Finding Money Launderers Using Heterogeneous Graph Neural Networks","created":"2023-07-25","cited_by_count":5,"area":null},{"id":"2401.03530","title":"Detecting Anomalies in Blockchain Transactions using Machine Learning Classifiers and Explainability Analysis","created":"2024-01-07","cited_by_count":4,"area":null},{"id":"2101.11915","title":"Detecting Malicious Accounts showing Adversarial Behavior in Permissionless Blockchains","created":"2021-01-28","cited_by_count":3,"area":null},{"id":"2303.12944","title":"Use of Federated Learning and Blockchain towards Securing Financial Services","created":"2023-02-04","cited_by_count":2,"area":null},{"id":"2311.13731","title":"A Survey of Blockchain, Artificial Intelligence, and Edge Computing for Web 3.0","created":"2023-11-22","cited_by_count":1,"area":null},{"id":"2311.17929","title":"New Online Communities: Graph Deep Learning on Anonymous Voting Networks to Identify Sybils in Polycentric Governance","created":"2023-11-25","cited_by_count":1,"area":null},{"id":"2403.17081","title":"Machine Learning on Blockchain Data: A Systematic Mapping Study","created":"2024-03-25","cited_by_count":1,"area":null},{"id":"2306.07974","title":"Chainlet Orbits: Topological Address Embedding for the Bitcoin Blockchain","created":"2023-05-18","cited_by_count":0,"area":null},{"id":"2307.08616","title":"Temporal and Geographical Analysis of Real Economic Activities in the Bitcoin Blockchain","created":"2023-07-17","cited_by_count":0,"area":null},{"id":"2307.13787","title":"The GANfather: Controllable generation of malicious activity to improve defence systems","created":"2023-07-25","cited_by_count":0,"area":null},{"id":"2501.00757","title":"Beyond Static Datasets: A Behavior-Driven Entity-Specific Simulation to Overcome Data Scarcity and Train Effective Crypto Anti-Money Laundering Models","created":"2025-01-01","cited_by_count":0,"area":null},{"id":"2510.05676","title":"Inductive inference of gradient-boosted decision trees on graphs for insurance fraud detection","created":"2025-10-07","cited_by_count":0,"area":null},{"id":"2604.23494","title":"Do Transaction-Level and Actor-Level AML Queues Agree? An Empirical Evaluation of Granularity Effects on the Elliptic++ Graph","created":"2026-04-26","cited_by_count":0,"area":null}],"next_cursor":null}