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Lecture
Graph Coloring: Theory and Applications
Description
This lecture covers the theory and applications of graph coloring, focusing on disassortative stochastic block models and planted coloring. It discusses the challenges and strategies in graph coloring, including equilibrium sampling, Bayes optimal overlap, and undetectable phases.
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