Role of Local Geometry in Robustness of Power Grid Networks. - Umar Islambekov; Asim Kumer Dey; Yulia R. Gel; H. Vincent Poor (GlobalSIP, 2018)

ChainNet: Learning on Blockchain Graphs with Topological Features. - Nazmiye Ceren Abay; Cuneyt Gurcan Akcora; Yulia R. Gel; Murat Kantarcioglu; Umar D. Islambekov; Yahui Tian; Bhavani Thuraisingham (ICDM, 2019)

Unsupervised Space-Time Clustering using Persistent Homology. - Umar Islambekov; Yulia R. Gel (CoRR, 2019)

Harnessing the power of Topological Data Analysis to detect change points in time series. - Umar Islambekov; Monisha Yuvaraj; Yulia R. Gel (CoRR, 2019)

Dissecting Ethereum Blockchain Analytics: What We Learn from Topology and Geometry of the Ethereum Graph? - Yitao Li; Umar Islambekov; Cuneyt Gurcan Akcora; Ekaterina Smirnova; Yulia R. Gel; Murat Kantarcioglu (SDM, 2020)

A Computationally Efficient Framework for Vector Representation of Persistence Diagrams. - Kit C. Chan; Umar Islambekov; Alexey Luchinsky; Rebecca Sanders (J. Mach. Learn. Res., 2022)

A fast topological approach for predicting anomalies in time-varying graphs. - Umar Islambekov; Hasani Pathirana; Omid Khormali; Cuneyt Gurcan Akcora; Ekaterina Smirnova (CoRR, 2023)

Explaining the Power of Topological Data Analysis in Graph Machine Learning. - Funmilola Mary Taiwo; Umar Islambekov; Cuneyt Gurcan Akcora (CoRR, 2024)

TDAvec: Computing Vector Summaries of Persistence Diagrams for Topological Data Analysis in R and Python. - Alexey Luchinsky; Umar Islambekov (CoRR, 2024)