Bar charts and box plots are omnipresent in the scientific literature. They are typically used to visualize quantities associated with a set of items. Representing the data accurately, however ...

Prior solutions fall into two categories: (1) pixel-wise segmentation-based approaches, which predict whether each pixel is on a road, and (2) graph-based approaches, which predict the road graph ...

Research conducted by Facts4EU showed that the previous Erasmus+ exchange was a one-way street when it came to migration flows. Erasmus+ was used by only 9,993 UK students in the pre-Covid year of ...

Abstract: Graph neural networks (GNNs) have received increasing interest in the medical imaging field given their powerful graph embedding ability to characterize the non-Euclidean structure of brain ...

Brooches also had a moment on the red carpet, with Jeff Goldblum wearing the Galaxy brooch from Swarovski Created Diamonds and Andrew Scott wearing the Hyperbola brooch. Angela Bassett graced the Met ...

Markov Affinity-based Graph Imputation of Cells (MAGIC) is an algorithm for denoising high-dimensional data most commonly applied to single-cell RNA sequencing data. MAGIC learns the manifold data, ...

In this paper, inspired by clinical practice, a Hierarchical Graph Pyramid Transformer (HGPT) is proposed to guide pathological image classification by effectively exploiting a geometric ...