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 ...
Abstract: Although Graph Neural Networks (GNNs) have exhibited the powerful ability to gather graph-structured information from neighborhood nodes via various message-passing mechanisms, the ...
Brandi Jones has over two decades of experience as a nurse in an acute care setting. Her clinical background includes pediatrics, medical-surgical, and women's health. She also specializes in ...
Charts, graphics, and clever illustrations can take a heart-pounding concept like risk and make it tangible, relatable, and even a little fun. Let’s dive into four visual techniques advisors use to ...
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 ...
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