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Lecture
Belief Propagation for Graph Coloring
Description
This lecture covers the concept of Belief Propagation for graph coloring, focusing on the probability distribution and inverse temperature. It explains the process of finding fixed points and the implications for graph coloring. The lecture delves into the challenges of anti-ferromagnetic interactions and the convergence properties of the algorithm.
Official source
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