Fast Stochastic Block Partitioning via Sampling. - Frank Wanye; Vitaliy Gleyzer; Wu-chun Feng (HPEC, 2019)

Topology-Guided Sampling for Fast and Accurate Community Detection. - Frank Wanye; Vitaliy Gleyzer; Edward K. Kao; Wu-chun Feng (CoRR, 2021)

On the Parallelization of MCMC for Community Detection. - Frank Wanye; Vitaliy Gleyzer; Edward K. Kao; Wu-chun Feng (ICPP, 2022)

On the Multi-Dimensional Acceleration of Stochastic Blockmodeling for Community Detection. - Frank Wanye; Wu-Chun Feng (CLUSTER Workshops, 2023)

Exact Distributed Stochastic Block Partitioning. - Frank Wanye; Vitaliy Gleyzer; Edward K. Kao; Wu-Chun Feng (CLUSTER, 2023)

An Integrated Approach for Accelerating Stochastic Block Partitioning. - Frank Wanye; Vitaliy Gleyzer; Edward K. Kao; Wu-chun Feng (HPEC, 2023)

SamBaS: Sampling-Based Stochastic Block Partitioning. - Frank Wanye; Vitaliy Gleyzer; Edward K. Kao; Wu-chun Feng (IEEE Trans. Netw. Sci. Eng., 2024)

On the Landscape of Graph Clustering at Scale. - Saikat Dey; Sonal Jha; Frank Wanye; Wu-Chun Feng (IPDPS (Workshops), 2025)