Motif and Hypergraph Correlation Clustering
Work
Year: 2019
Type: article
Abstract: Motivated by applications in social and biological network analysis we introduce a new form of agnostic clustering termed motif correlation clustering, which aims to minimize the cost of clustering er... more
Cites: 21
Cited by: 26
Related to: 10
FWCI: 2.417
Citation percentile (by year/subfield): 72.65
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
Funders National Science Foundation, National Science Foundation, National Science Foundation, California Community Foundation
Grant IDS CIF 1218764, CIF 1117980, 1339388, CCF 0939370