Protein complexes play a crucial role in cellular biological processes. Identifying these complexes is essential for understanding cellular functions and biological mechanisms. Graph clustering ...

If it feels like social platforms suddenly “get” you more than they used to, you’re not imagining it! In 2026, feeds aren’t only reacting to what you click anymore. They’re predicting what you ...

Abstract: Packet classification is necessary for flow-based network services in Internet routers, such as NAPT, IPsec, ACL, etc. The range-based packet classification function maps input packets to ...

This article introduces a model-based design, implementation, deployment, and execution methodology, with tools supporting the systematic composition of algorithms from generic and domain-specific ...

Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...

Graphs are everywhere. In discrete mathematics, they are structures that show the connections between points, much like a public transportation network. Mathematicians have long sought to develop ...

A professor has helped create a powerful new algorithm that uncovers hidden patterns in complex networks, with potential uses in fraud detection, biology and knowledge discovery. University of ...

The rise in demand for DC loads in residential, commercial, and industrial applications has a predominant effect on including renewable energy sources (RES) in the current power system. DC microgrids ...

Definition: Graph is a non linear data structure. It relies on vertices and edges to create a directed graph and undirected graph. Directed Graph contains edges which points from one edge to the ...

We introduce a new algorithm MaxCliqueWeight for identifying a maximum weight clique in a weighted graph, and its variant MaxCliqueDynWeight with dynamically varying bounds. This algorithm uses an ...

Abstract: Many problems in combinatorial optimization rely on local search heuristics attempting to swap elements between subsets. The best results are achieved by combining multiple exchanges, where ...