Many graph visualization systems use graph hierarchies to organize a large input graph into logical components. These approaches detect features globally in the data and place the...
—Many graph visualization systems use graph hierarchies to organize a large input graph into logical components. These approaches detect features globally in the data and place t...
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
We present the software tool “Web Graph Analyzer”. This tool is designed to perform a comprehensive analysis of the Web Graph structure. By Web Graph we mean a graph whose ver...
Konstantin Avrachenkov, Danil Nemirovsky, Natalia ...
This paper proposes novel methods for visualizing specifically the large power-law graphs that arise in sociology and the sciences. In such cases a large portion of edges can be sh...
Yuntao Jia, Jared Hoberock, Michael Garland, John ...