Efficiently inferring community structure in bipartite networks

12 March 2014

Papers citing "Efficiently inferring community structure in bipartite networks"

7 / 7 papers shown

Title
Inference and Visualization of Community Structure in Attributed Hypergraphs Using Mixed-Membership Stochastic Block Models Kazuki Nakajima Takeaki Uno 50 0 0 01 Jan 2024
Efficient High-Quality Clustering for Large Bipartite Graphs Renchi Yang Jieming Shi 19 6 0 28 Dec 2023
Descriptive vs. inferential community detection in networks: pitfalls, myths, and half-truths Tiago P. Peixoto 22 44 0 30 Nov 2021
Fast Network Community Detection with Profile-Pseudo Likelihood Methods Jiangzhou Wang Jingfei Zhang Binghui Liu Ji Zhu Jianhua Guo 26 25 0 01 Nov 2020
Graph-based semi-supervised learning for relational networks Leto Peel 22 38 0 15 Dec 2016
The ground truth about metadata and community detection in networks Leto Peel D. Larremore A. Clauset 30 443 0 20 Aug 2016
A unified view of generative models for networks: models, methods, opportunities, and challenges Abigail Z. Jacobs A. Clauset 47 31 0 14 Nov 2014