By using graph Laplacian as a smooth operator, the obtained sparse representations vary smoothly along the geodesics of the data manifold. The extensive experimental results on image classification ...

Astronomers have studied the globular cluster 47 Tucanae extensively, but still have many questions. It may have an ...

Technical Terms Graph Algorithms: Methods and procedures for solving problems related to graph structures, including optimisation, connectivity, and flow analysis.

Many real-world systems can be represented as graphs where the different entities in the system are presented by nodes and their interactions by edges. An important task in studying large datasets ...

The repository includes two primary algorithms: Johnson's algorithm, which is highly efficient for sparse graphs, and the Floyd-Warshall algorithm, which is suitable for dense graphs. Both ...

[1] Mohamed, Abduallah, et al. "Social-stgcnn: A social spatio-temporal graph convolutional neural network for human trajectory prediction." Proceedings of the IEEE/CVF Conference on Computer Vision ...