Abstract: With the wide application of graph neural network (GNN) in many fields, how to extract and aggregate node features effectively has become a hot research issue. In this paper, we propose a ...

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 ...

Abstract: The Conflict-Based Search Weighted Dependency Graph algorithm is one of the optimal algorithms for multi-robot path planning. Although this algorithm can find optimal solutions relatively ...

In the teaching of computer science, metaphors and analogies are especially fitting: the essence of algorithms is abstract discrete structures, and to help learners quickly grasp the logic within, we ...

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

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 ...

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 ...