Crafting a spanning tree for a graph is a fundamental concept in graph theory with wide applications in computer science, network design, and operations research. A spanning tree is a subgraph that ...

This Python project generates a Minimum Spanning Tree (MST) from a graph represented as an adjacency matrix in CSV format, using Prim's Algorithm. It logs each selected edge and the total weight of ...

Abstract: Graph neural network (GNN) shows strong processing ability on graph model data. Compared with node-level tasks, the GNN-based graph pooling model for graph-level tasks pays more attention to ...

This project provides a massively parallel implementation of a Minimum Spanning Tree (MST) graph algorithm using NVIDIA CUDA. The implementation is based on Borůvka's algorithm, which is highly ...

Abstract: In this paper, a graph signal de-noising method using spanning tree and graph filter bank is presented. First, the minimum spanning tree representation of sensor network graph signal is ...