This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Abstract: The graph coloring problem involves coloring the nodes of a graph using the minimum number of colors such that no two adjacent nodes share the same color. This NP-hard problem has various ...
The graph coloring problem we are trying to tackle here relies on two main steps: Using the Maximum Independent Set solver to return a distribution of independent sets. Use that distribution of sets ...
Quantum computing based Grover's algorithm performs unstructured search problems in unsorted data to structured data in validating bit string through graph coloring. The quantum Grover's algorithm and ...
Abstract: Coloring for random graph from G(n,1/2) is a classic example exhibiting an Information v. Computation gap: it has chromatic number of Theta(n/log n) w.p. 1-o(1) while the best efficiently ...
This week I interviewed Senator Amy Klobuchar, Democrat of Minnesota, about her Preventing Algorithmic Collusion Act. If you don’t know what algorithmic collusion is, it’s time to get educated, ...
ABSTRACT: In this paper, a sender-initiated protocol is applied which uses fuzzy logic control method to improve computer networks performance by balancing loads among computers. This new model ...
Abstract: The graph coloring problem functions as a fundamental and pivotal combinatorial optimization task and has played an essential role in various domains such as wireless spectrum management, ...
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