The study of graph colouring has long been a central topic in discrete mathematics, with a prominent focus on optimising the assignment of labels or colours to vertices such that adjacent vertices are ...

The graph colouring problem, a classic NP-hard challenge, is central to many practical applications such as scheduling, resource allocation and network management. Recent advances have seen the ...

Duah: Using puzzles, both at home and in classrooms, can restore the often-forgotten truth that learning happens in ...

An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...

Abstract: Graph coloring is an important problem in computer science and engineering with numerous applications. As the size of data increases today, graphs with millions of nodes are becoming ...

Nicola, A.A. (2026) Open Flow Controller Architecture for Seamless Connectivity and Virtualization Technologies.

Abstract: A coloring of a graph is an assignment of colors to vertices such that no two neighboring vertices have the same color. The need for memory-efficient coloring algorithms is motivated by ...

Greedy algorithms, see "ColPack: Software for graph coloring and related problems in scientific computing" (Gebremedhin et al., 2013) for their descriptions ...

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

Charts, graphics, and clever illustrations can take a heart-pounding concept like risk and make it tangible, relatable, and ...

The purpose of this package is to provide a fast and customizable way to build graphs from images over-segmented into superpixel so that they can be used as input for Graph Neural Networks in a highly ...