In this paper, we examine the main advances registered in the last ten years in Pattern
Recognition methodologies based on graph matching and related techniques, analyzing …

Applied visualization researchers often work closely with domain collaborators to explore
new and useful applications of visualization. The early stages of collaborations are typically …

Multivariate graphs are prolific across many fields, including transportation and
neuroscience. A key task in graph analysis is the exploration of connectivity, to, for example …

Graph comparison algorithms based on metric space embedding have been proven robust
in graph clustering and classification. In this paper we propose graph embedding method …

We present a new method of quantitative graph analysis and visualization based on vertex
centrality measures and distance matrices. After generating distance k-graphs and collecting …

We present a new framework for analysis and visualization of complex networks based on
structural information retrieved from their distance k‐graphs and B‐matrices. The …

This paper presents application of several graph algorithms for comparison and
visualization of real-world networks. In order to obtain interactive and robust framework for …

We present a new framework for analysis and visualization of large complex networks based
on structural information retrieved from their distance k-graphs and B-matrices. The …

We present a new framework for analysis and visualization of large complex networks based
on structural information retrieved from their distance k-graphs and B-matrices. The …

W ostatnich latach zauważalny jest olbrzymi wzrost zainteresowania analizą sieci złożonych
i (szeroko pojętymi) grafowymi reprezentacjami wiedzy. U przyczyn takiego stanu rzeczy …