1 citations · 4 across the 6 of their papers we have counts for
5 papers
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…
EMP: Effective Multidimensional Persistence for Graph Representation Learning
Ignacio Segovia-Dominguez, Yuzhou Chen, Cuneyt G. Akcora +4
Topological data analysis (TDA) is gaining prominence across a wide spectrum of machine learning tasks that spans from manifold learning to graph classification. A pivotal techniqu…
Explaining the Power of Topological Data Analysis in Graph Machine Learning
Funmilola Mary Taiwo, Umar Islambekov, Cuneyt Gurcan Akcora
Topological Data Analysis (TDA) has been praised by researchers for its ability to capture intricate shapes and structures within data. TDA is considered robust in handling noisy a…
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…
A fast topological approach for predicting anomalies in time-varying graphs
Umar Islambekov, Hasani Pathirana, Omid Khormali +2
Large time-varying graphs are increasingly common in financial, social and biological settings. Feature extraction that efficiently encodes the complex structure of sparse, multi-l…