Efficient Computation of Probabilistic Core Decomposition at Web-Scale. - Fatemeh Esfahani; Venkatesh Srinivasan 001; Alex Thomo; Kui Wu 001 (EDBT, 2019)

Fast Truss Decomposition in Large-scale Probabilistic Graphs. - Fatemeh Esfahani; Jian Wu; Venkatesh Srinivasan 001; Alex Thomo; Kui Wu 001 (EDBT, 2019)

Multi-stage graph peeling algorithm for probabilistic core decomposition. - Yang Guo 002; Xuekui Zhang; Fatemeh Esfahani; Venkatesh Srinivasan 001; Alex Thomo; Li Xing (ASONAM, 2021)

Lightweight Combinational Machine Learning Algorithm for Sorting Canine Torso Radiographs. - Masuda Akter Tonima; Fatemeh Esfahani; Austin Dehart; Youmin Zhang 001 (ICPS, 2021)

Truss Decomposition on Large Probabilistic Networks using H-Index. - Fatemeh Esfahani; Mahsa Daneshmand; Venkatesh Srinivasan 001; Alex Thomo; Kui Wu 001 (SSDBM, 2021)

Dense subgraph mining in probabilistic graphs. - Fatemeh Esfahani (2021)

Nucleus Decomposition in Probabilistic Graphs: Hardness and Algorithms. - Fatemeh Esfahani; Venkatesh Srinivasan 001; Alex Thomo; Kui Wu 001 (ICDE, 2022)

Integrative COVID-19 biological network inference with probabilistic core decomposition. - Yang Guo 002; Fatemeh Esfahani; Xiaojian Shao; Venkatesh Srinivasan 001; Alex Thomo; Li Xing; Xuekui Zhang (Briefings Bioinform., 2022)

Scalable probabilistic truss decomposition using central limit theorem and H-index. - Fatemeh Esfahani; Mahsa Daneshmand; Venkatesh Srinivasan 001; Alex Thomo; Kui Wu 001 (Distributed Parallel Databases, 2022)