The identification of clusters, well-connected components in a graph, is useful in many applications from biological function prediction to social community detection. However, ...
Complex networks, such as biological, social, and communication networks, often entail uncertainty, and thus, can be modeled as probabilistic graphs. Similar to the problem of sim...
Michalis Potamias, Francesco Bonchi, Aristides Gio...
Given a simple undirected graph, the minimum connected dominating set problem is to find a minimum cardinality subset of vertices D inducing a connected subgraph such that each ve...
Sergiy Butenko, Sera Kahruman-Anderoglu, Oleksii U...
This paper presents a general framework for agglomerative hierarchical clustering based on graphs. Specifying an inter-cluster similarity measure, a subgraph of the similarity gra...
Coarse Grained Reconfigurable Array (CGRA) architectures give high throughput and data reuse for regular algorithms while providing flexibility to execute multiple algorithms on th...