Abstract: Graph has been proven to be an emerging tool for spectrum sensing (SS), with detection performance closely related to the graph characteristics. Existing graph-based SS has been mainly ...

Abstract: Weighted matching identifies a maximal subset of edges in a graph such that these edges do not share any vertices in common with each other. As a prototypical graph problem, matching has ...

Department of Chemistry and Research Institute for Natural Science, Korea University, Seoul 02841, Korea ...

Graclus (latest: Version 1.2) is a fast graph clustering software that computes normalized cut and ratio association for a given undirected graph without any eigenvector computation. This is possible ...

Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for understanding cellular heterogeneity, providing unprecedented resolution in molecular regulation analysis. Existing supervised ...

I have calculated an "influence score" on an unweighted and weighted graph. I used BFS algorithm for the unweighted graph and Dijkstra's algorithm for the weighted graph.

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...

Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), Dalian Key Laboratory on Chemicals Risk Control and Pollution Prevention Technology, School of Environmental ...

This project provides a custom implementation of a weighted graph in Java, using adjacency lists to represent the graph's structure. The graph is used to find the shortest path and minimum spanning ...