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 ...

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 ...

After two years of freelancing while working full time in L.A., Tom became a full-time staff member of KTVU as Consumer Editor, in 1991. Tom has covered every major disaster including earthquakes, ...

If you have questions or reqeusts about this repository please feel free to reach out to me about it. Also feel free to email me if you open a PR and I seem to be neglecting it. In either of these ...

In September 2023, Crystal Bailey embarked on a new chapter of her illustrious career when she joined the dynamic team at KTVU. Hailing from the sunny state of Florida, Crystal has always had a ...

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 ...

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 ...

Olivia Young is a journalist and slow travel advocate. Her favorite travel days usually involve vegan food, wildlife sightings, and an occasional liability waiver.

This source code archive accompanies the An end-to-end attention-based approach for learning on graphs paper, out now in Nature Communications. It includes the code required to run experiments ...