activity
20232026
most citedMachine Learning for Blockchain Data Analysis: Progress and Opportunities

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

collaborators

5 papers

cs.LG2026

Edge Sparsification via Temporal Forman-Ricci Curvature for Dynamic Graph Learning

Poupak Azad, Cuneyt Gurcan Akcora, Kiarash Shamsi

Temporal graph learning has become essential for analyzing real-world systems whose interactions continuously evolve over time, including financial transaction networks, communicat…

cs.ET2025

Hedge Funds on a Swamp: Analyzing Patterns, Vulnerabilities, and Defense Measures in Blockchain Bridges

Poupak Azad, Jiahua Xu, Yebo Feng +2

Blockchain bridges have become essential infrastructure for enabling interoperability across different blockchain networks, with more than $24B monthly bridge transaction volume. H…

cs.LG2024

MiNT: Multi-Network Training for Transfer Learning on Temporal Graphs

Kiarash Shamsi, Tran Gia Bao Ngo, Razieh Shirzadkhani +7

Temporal Graph Learning (TGL) has become a robust framework for discovering patterns in dynamic networks and predicting future interactions. While existing research has largely con…

cs.CR2024★ 1 cited

Machine Learning for Blockchain Data Analysis: Progress and Opportunities

Poupak Azad, Cuneyt Gurcan Akcora, Arijit Khan

Blockchain technology has rapidly emerged to mainstream attention, while its publicly accessible, heterogeneous, massive-volume, and temporal data are reminiscent of the complex dy…

cs.CR2023

Chainlet Orbits: Topological Address Embedding for the Bitcoin Blockchain

Poupak Azad, Baris Coskunuzer, Murat Kantarcioglu +1

The rise of cryptocurrencies like Bitcoin, which enable transactions with a degree of pseudonymity, has led to a surge in various illicit activities, including ransomware payments…