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Umar Islambekov
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Chainnet: Learning on blockchain graphs with topological features
NC Abay, CG Akcora, YR Gel, M Kantarcioglu, UD Islambekov, Y Tian, ...
2019 IEEE international conference on data mining (ICDM), 946-951, 2019
512019
Dissecting ethereum blockchain analytics: What we learn from topology and geometry of the ethereum graph?
Y Li, U Islambekov, C Akcora, E Smirnova, YR Gel, M Kantarcioglu
Proceedings of the 2020 SIAM international conference on data mining, 523-531, 2020
462020
Unsupervised space-time clustering using persistent homology.
YRG U. Islambekov
Environmetrics, 2018
222018
Harnessing the power of topological data analysis to detect change points
U Islambekov, M Yuvaraj, YR Gel
Environmetrics 31 (1), e2612, 2020
172020
Role of local geometry in robustness of power grid networks
VP U.Islambekov, A.K. Dey, Y.R. Gel
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018
132018
Lieb–Robinson bounds for the Toda lattice
U Islambekov, R Sims, G Teschl
Journal of Statistical Physics 148 (3), 440-479, 2012
52012
Package ‘funtimes’
V Lyubchich, YR Gel, A Brenning, C Chu, X Huang, U Islambekov, ...
32023
A computationally efficient framework for vector representation of persistence diagrams
KC Chan, U Islambekov, A Luchinsky, R Sanders
Journal of Machine Learning Research 23 (268), 1-33, 2022
22022
Explaining the Power of Topological Data Analysis in Graph Machine Learning
FM Taiwo, U Islambekov, CG Akcora
arXiv preprint arXiv:2401.04250, 2024
2024
Vector Summaries of Persistence Diagrams for Permutation-based Hypothesis Testing
U Islambekov, H Pathirana
arXiv preprint arXiv:2306.06257, 2023
2023
A fast topological approach for predicting anomalies in time-varying graphs
U Islambekov, H Pathirana, O Khormali, C Akcora, E Smirnova
arXiv preprint arXiv:2305.06523, 2023
2023
TDAvec: Vector Summaries of Persistence Diagrams
U Islambekov, A Luchinsky
https://cran.r-project.org/web/packages/TDAvec/index.html, 2022
2022
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Articles 1–12