Nature

Graph Coloring Algorithms and Optimization Techniques

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 ...
Nature

B-Chromatic Number and Graph Coloring

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 ...
GitHub

rykunk21/causal-graph-compiler

The Causal Graph Compiler translates natural-language requirements into formal causal logic graphs representing P→Q (premise-to-conclusion) relations, assumptions ...
BBC

Six graphics that explain climate change

A breakthrough deal to attempt to limit global temperature rises was agreed at a conference of world nations in December 2015. These charts from the time show how and why the Earth’s climate is ...
IEEE

Picasso: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing

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 ...
IEEE

Combining Reinforcement Learning and Heuristic Optimization: A Model Based on a Deep Q-Network and Graph Neural Networks for Graph Coloring

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 ...
GitHub

XTC is a domain specific dataflow graph compiler featuring operational DSL, scheduling DSL, multiple backends and autotuning.

XTC is a domain specific dataflow graph compiler featuring operational DSL, scheduling DSL, multiple backends and autotuning. - xtc-tools/xtc ...