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 ...

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 ...

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 ...

Abstract: Word Sense Disambiguation (WSD) aims to identify the correct sense of a word in a given sentence. WSD is considered to be an open and AI-hard problem in Natural Language Processing (NLP).