| A comparative analysis of large-scale network visualization tools MAM Faysal, S Arifuzzaman 2018 IEEE International Conference on Big Data (Big Data), 4837-4843, 2018 | 22 | 2018 |
| Distributed community detection in large networks using an information-theoretic approach MAM Faysal, S Arifuzzaman 2019 IEEE International Conference on Big Data (Big Data), 4773-4782, 2019 | 15 | 2019 |
| Hypc-map: A hybrid parallel community detection algorithm using information-theoretic approach MAM Faysal, S Arifuzzaman, C Chan, M Bremer, D Popovici, J Shalf 2021 IEEE High Performance Extreme Computing Conference (HPEC), 1-8, 2021 | 7 | 2021 |
| Fast stochastic block partitioning using a single commodity machine MAM Faysal, S Arifuzzaman 2019 IEEE International Conference on Big Data (Big Data), 3632-3639, 2019 | 3 | 2019 |
| Fast Parallel Index Construction for Efficient K-truss-based Local Community Detection in Large Graphs MAM Faysal, M Bremer, C Chan, J Shalf, S Arifuzzaman Proceedings of the 52nd International Conference on Parallel Processing, 132-141, 2023 | 1 | 2023 |
| Fast Community Detection in Graphs with Infomap Method using Accelerated Sparse Accumulation MAM Faysal, M Bremer, S Arifuzzaman, D Popovici, J Shalf, C Chan 2023 IEEE International Parallel and Distributed Processing Symposium …, 2023 | 1 | 2023 |
| Data Mining in-IDE Activities: Why Software Developers Fail NS Sattar, MAM Faysal, M Zibran, S Arifuzzaman, MR Islam 27th International Conference on Software Engineering and Data Engineering …, 2018 | 1 | 2018 |
| Parallel Algorithms for Mining Large-scale Time-varying (Dynamic) Graphs S Arifuzzaman, NS Sattar, MAM Faysal PDSW-DISCS Workshop, 2018 International Conference for High Performance …, 2018 | 1 | 2018 |
| Scalable Algorithm Design and Performance Analysis for Graph Motifs Discovery MAM Faysal | | 2023 |
| Accelerating the Information-Theoretic Approach of Community Detection Using Distributed and Hybrid Memory Parallel Schemes MAM Faysal | | 2020 |
Shaikh M. ArifuzzamanAssistant Professor, Computer Science Department, University of Nevada, Las Vegas (UNLV)在 unlv.edu 的电子邮件经过验证
