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 ...
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 ...
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) ...
Abstract: We present a hybrid approach combining Reinforcement Learning (RL) with the TabuCol, which is a version of tabu search specifically designed for the Graph Coloring Problem (GCP), enhanced by ...
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 ...
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