most citedA Graph Machine Learning Approach for Detecting Topological Patterns in Transactional Graphs

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

cs.LG2026

A Tree-Structured Approach for Phishing Template and Attacker Attribution Analysis

Unai Agirre, Imanol Jerico, Felipe Castaño +2

Phishing remains a persistent and evolving cybersecurity threat, with attack volumes reaching record levels. This growth is driven by the industrialization of phishing through wide…

cs.LG2026

Synthetic Pattern Generation and Detection of Financial Activities using Graph Autoencoders

Francesco Zola, Lucia Muñoz, Andrea Venturi +1

Illicit financial activities such as money laundering often manifest through recurrent topological patterns in transaction networks. Detecting these patterns automatically remains…

cs.CR2025

ART: A Graph-based Framework for Investigating Illicit Activity in Monero via Address-Ring-Transaction Structures

Andrea Venturi, Imanol Jerico-Yoldi, Francesco Zola +1

As Law Enforcement Agencies advance in cryptocurrency forensics, criminal actors aiming to conceal illicit fund movements increasingly turn to "mixin" services or privacy-based cry…

cs.LG2025★ 1 cited

A Graph Machine Learning Approach for Detecting Topological Patterns in Transactional Graphs

Francesco Zola, Jon Ander Medina, Andrea Venturi +2

The rise of digital ecosystems has exposed the financial sector to evolving abuse and criminal tactics that share operational knowledge and techniques both within and across differ…

cs.CR2025

Topological Analysis of Mixer Activities in the Bitcoin Network

Francesco Zola, Jon Ander Medina, Andrea Venturi +1

Cryptocurrency users increasingly rely on obfuscation techniques such as mixers, swappers, and decentralised or no-KYC exchanges to protect their anonymity. However, at the same ti…