Graph algorithms and sparsification techniques have emerged as pivotal tools in the analysis and optimisation of complex networked systems. These approaches focus on reducing the number of edges in a ...

In algorithms, as in life, negativity can be a drag. Consider the problem of finding the shortest path between two points on a graph — a network of nodes connected by links, or edges. Often, these ...

├── src/ # Core implementation │ ├── algorithms/ # Algorithm implementations │ │ ├── dijkstra.py # Classic Dijkstra's algorithm │ │ ├── astar.py # A* search implementation │ │ └── tsinghua.py # ...

Graphs are everywhere. In discrete mathematics, they are structures that show the connections between points, much like a ...

With the rapid development of mobile networks, location-based services have become deeply embedded in people's daily lives. Although the k-NN search problem has obtained a lot of research results, the ...

Our research is focused on graph algorithms, from both a theoretical perspective, and a practical perspective motivated by real-world problems in Bioinformatics, such as genome sequencing technologies ...

A puzzle that has long flummoxed computers and the scientists who program them has suddenly become far more manageable. A new algorithm efficiently solves the graph isomorphism problem, computer ...

This repository contains implementations of 15 different graph search algorithms used in Artificial Intelligence and pathfinding problems. Each algorithm is implemented in C++ with a focus on ...